Tashkent State Technical University

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Australia


	Full time fixed term contract for 12 months in the first instance, with possibility of extension
	An exciting opportunity in a newly created role within the team focused on wearables and health within the Charles Perkins Centre and the Faculty of Medicine and Health
	Base Salary ranging from $104, 633 to $113,992 + 17% superannuation 


About the opportunity

The University of Sydney, Charles Perkins Centre -Since our inception 160 years ago, the University of Sydney has led to improve the world around us. We believe in education for all, and that effective leadership makes lives better. These same values are reflected in our approach to diversity and inclusion and underpin our long-term strategy for growth. We are Australia's first university and have an outstanding global reputation for academic and research excellence. Across our campuses, we employ over 8,100 academic and non-academic staff who support over 73,000 students.

Charles Perkins Centre is at the forefront of multidisciplinary research and education and undertakes high-impact research that anticipates the cardiometabolic health issues of tomorrow while overcoming the challenges of today.

We are seeking to employ an enthusiastic, talented, and passionate Data Scientist (HEO 7) to provide technical support and leadership to the research team of Professor Emmanuel Stamatakis.

This is an excellent opportunity for an outstanding Senior Data Scientist to develop a strong career in health-related research and gain substantial experience and receive training on wearables-based measurement of physical activity and sleep. The position is located at Charles Perkins Centre, a leading multidisciplinary research institute of the University of Sydney, the incumbent will support the activities within the newly founded Mackenzie Research Wearables Hub at Charles Perkins Centre.

Your key responsibilities will be:


	Analyse and process multimodal sensor data collected from wearables such as ECG, altimeter, accelerometer, gyroscope, polysomnography (PSG), and EMG
	work with data from wearables worn on various body locations (wrist, thigh, chest, head), including nanopolymer technology
	apply machine learning techniques such as supervised, semi-supervised, deep learning, reinforcement learning, transfer learning etc. to enhance activity recognition.
	collaborate with research teams across multiple studies to ensure accurate data collection, labelling, and quality control
	manage large datasets and conduct data preprocessing, feature extraction, and model validation using appropriate statistical and computational methods.
	develop and refine signal processing algorithms to handle data from complex wearables, including ECG, EEG, and EMG signals
	implement and optimize activity classification algorithms for highly variable activities, including sleep stages, daily activities, and specialized movements (e.g., stair climbing, gym workouts).
	perform cross-validation, error analysis, and model tuning to ensure high accuracy in real-world applications
	stay updated on the latest developments in wearable technology and machine learning to improve current methodologies and propose innovative solutions.


About you

To be successful in this role, you will have:


	Honors or master's degree in data science, with relevant experience in a related field, or degree in a related area and substantial experience as research assistant/research officer
	experience working in a research-intensive environment
	strong background in machine learning (e.g., classification, supervised and semi-supervised learning, transfer learning) and signal processing
	expertise in working with wearable sensor data such as ECG, accelerometers, gyroscopes, PSG, EMG.
	proficiency in Python, R, or other relevant programming languages
	experience with tools for time-series analysis and signal processing (e.g., scikit-learn, TensorFlow)
	experience developing models using multimodal sensor data from wearables placed on different body locations
	strong understanding of biomedical signal processing and familiarity with bioinformatics tools.
	knowledge of handling and analysing large datasets, with experience in data wrangling, data visualization, and feature engineering
	good inter-personal skills and capacity to resolve challenging situations in the most professional manner.
	familiarity with nanopolymer technology in wearables would be desirable
	possess a capacity to work against deadlines in a fast -paced and vibrant research environment
	willingness and capacity to occasionally (e.g. 1-2 times per month on average) work out of regular office hours to accommodate the multiple time zones of the Team's international collaborators.


To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

Sponsorship / work rights for Australia

Please note: Visa sponsorship is not available for this position. For a continuing position, you must be an Australian or New Zealand citizen or an Australian Permanent Resident.

Australian Temporary Residents currently employed at the University of Sydney may be considered for a fixed term contract for the length of their visa, depending on the requirements of the hiring area and the reasons for the position.

Pre-employment checks

Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

EEO statement

At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community that reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds.

How to apply

Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.

For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.

For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Rachel Yazigi Recruitment Operations by email to rachel.yazigi@sydney.edu.au.

Copyright The University of Sydney

The University reserves the right not to proceed with any appointment.

Click to view the Position Description for this role.

 


The University of Sydney

($110,868 - $131,659) or ($135,814 - $156,608) + 17% Super

Australia, Melbourne


	An opportunity now exists to join RMIT's School of Engineering and contribute to the growth of teaching and research within the Biomedical Engineering Department 
	1 x Full time, ongoing appointment based at the City Campus 
	Remuneration at Academic Level B ($110,868 - $131,659) or C ($135,814 - $156,608) + 17% Super 


About the Role

As the Lecturer/Senior Lecturer, you will contribute to the teaching and research efforts of the School and the Department of Biomedical Engineering. The Department of Biomedical Engineering is a thriving research and teaching department focused on industry-engaged biomedical problems.

This role will see you:


	Make a significant contribution to the delivery of programs and be actively involved in research, consulting and other professional activities.
	Develop, engage in and lead high quality research projects that are aligned with the University's research focus areas in biomedical engineering of devices, computational modeling and end-user focused medical technology to achieve success in attracting research funding and to produce high quality outputs.
	Have an important research leadership role in embedding your biomedical research expertise into the life of the School and develop high quality, productivity-driven networks across RMIT and with local and national, internal and external partners with a significant focus on industrial medical technology and healthcare connectivity.
	May have responsibility for program management.


To be successful for level B appointment, you will have:


	Research and Teaching experience in the field of biomedical engineering, with a particular focus on advanced computational methods such as computational fluid dynamics, medical device innovation and digital health technologies.
	Experience in collaborating with hospitals, healthcare providers, and interdisciplinary teams to translate engineering research solutions to improve healthcare delivery.
	Demonstrated ability to prepare and deliver programs at undergraduate and post-graduate levels, including online delivery, and the ability to produce high quality curriculum or program materials.
	Ability to undertake course coordination role.
	Demonstrated capacity to work effectively with and to negotiate sensitively with students especially on issues related to effective learning.
	Emerging track record and recognition for quality research outputs which will contribute to existing.
	Discipline and School research areas evidenced by publications, development of new research initiatives, competitive research funding, and industry links.
	Demonstrated ability to supervise higher degree by research candidates.
	Ability to build effective networks with colleagues and generate alternative funding projects through effective liaison with industry and government.
	Excellent interpersonal and communications skills appropriate for interacting with higher degree by research candidates, staff and industry, together with a strong commitment to teamwork and multidisciplinary collaboration.


To be successful for level C appointment, you will have:


	Research and Teaching experience in the field of biomedical engineering, with a particular focus particular focus on advanced computational methods such as computational fluid dynamics, medical device innovation and digital health technologies.
	Experience collaborating with hospitals, healthcare providers, and interdisciplinary teams to translate engineering research solutions to improve healthcare delivery both nationally and internationally.
	Demonstrated ability to coordinate large courses and prepare and delivery programs at undergraduate and post-graduate levels, including high quality curriculum and program materials and ability to implement innovative approaches to student-centred learning and quality improvement.
	Ability to manage a large program or a number of small programs with demonstrated ability to support student issues related to effective learning.
	Emerging track record and recognition for quality research outputs which will contribute to existing Discipline and School research areas evidenced by publications, development of new research initiatives, competitive research funding, and industry links.
	Extensive experience in research leadership with the ability to build and develop collaborative research teams, mentor academic staff to deliver high quality outcomes, attract and secure external research funding to sustain research effort and manage funded research projects including complex budgets and reporting requirements.
	Extensive experience in supervising higher degree by research candidates to maximise research performance.
	Demonstrated understanding of and commitment to financial, governance and quality management systems within a university.
	Demonstrated high level of interpersonal, communication and negotiating skills including the ability to consult with senior executives, external bodies, staff and industry, together with a strong commitment to teamwork, collaboration and multidisciplinary collaboration.


Mandatory qualifications for level B or C appointment:


	PhD or equivalent in relevant field


Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check.

To Apply

Please submit your CV and covering letter and address  the Key Selection Criteria  for this position by clicking on the 'Apply' link at the top of this page.

For further information about this position, please see the Position Description hyperlinked below or contact Aleksandra Besia, Senior Talent Acquisition Advisor via email aleksandra.besia@rmit.edu.au

PD - Lecturer or Senior Lecturer, Biomedical Engineering

Applications close on Sunday 15 December 2024 at 11:59 PM 

Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. Due to recent upgrades, position description links may not work on LinkedIn advertisements. 

At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Dani (Senior Talent Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers

RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community.

We are a Circle Back Initiative Employer - we commit to respond to every applicant.


RMIT University

$112,916 - $128,026 per annum plus 17% superannuation

Australia, Canberra

Classification: Academic Level B

Salary package: $112,916 - $128,026 per annum plus 17% superannuation

Terms: Full time, Fixed-term (up to 3 years)

Location: Canberra / ACT


	The opportunity to work within a collaborative and interdisciplinary team with world-class researchers and educators in the 8th highest ranked anthropology department in the world.
	Work in a beautiful, lively campus environment on the city’s doorstep.
	Generous remuneration and conditions, including 17% superannuation and a range of other benefits.


Position overview

Anthropology in the School of Anthropology & Archaeology, CASS, ANU, is seeking to appoint a highly motivated, experienced, and collegial early career academic to join our team. The successful candidate’s field of expertise should be at the leading edge of anthropology/development and able to address undergraduate courses in development studies and the department’s new teaching focus on planetary futures. The candidate’s research focus will focus in development studies with an emphasis on environmental anthropology and planetary futures.

The successful candidate will also be able to demonstrate excellence in ethnographic theory and methods. Candidates will be asked for evidence of on-going, active field-based research; a strong publication record against opportunity; and a strong teaching record, in particular on-line and innovative teaching to a diverse cohort of undergraduate and Master students. Evidence of ability to gain competitive grants will be an advantage. The successful candidate will be expected to supervise independent PhD research projects, develop postgraduate coursework, teach into the undergraduate curriculum, engage in research, and serve on university committees as appropriate.

College overview

The ANU College of Arts and Social Sciences (CASS) is one of seven Colleges at ANU. The College, which is structured into two main research schools, offers degrees in more than 20 discipline areas and excels in research across the creative arts, humanities and social sciences. The College has a substantial international research presence and is a major source of national policy advice. Our academic staff are internationally recognised for their research, and 57 are members of the Australian Academy of the Humanities, the Academy of the Social Sciences of Australia, or both. We also host 13 Australian Research Council Future Fellows and three ARC Laureates. A hub of vibrant activity, we host more than 270 lectures, concerts and exhibitions each year, most of which are open to the public. Our students, staff and graduates come from more than 60 nations, bringing a diversity of perspective to campus life.

For further information, please contact: Professor Alison Behie, E: alison.behie@anu.edu.au

The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au 

ANU values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion

Application information

In order to apply for this role, please upload the following documents:


	A statement addressing the selection criteria.
	A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form.
	Other documents, if required.


Applications which do not address the selection criteria may not be considered for the position.

Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.


The Australian National University

Macao

(Ref. No.: IOTSC/SE/FAP/11/2024)

The University of Macau (UM) is an internationalized public comprehensive university in the Macao Special Administrative Region (MSAR) located at the west bank of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA). The GBA is rapidly developing into one of the leading technology and innovation hubs of the world. UM is placed No. 180 in the THE World University Rankings and placed No. 245 in the QS World University Rankings. With a scenic campus of approximately 1 km2 on Hengqin island, UM has achieved significant progress in the past decade as evidenced by its rising international repute, state-of-the-art teaching and research facilities, and the establishment of three State Key Laboratories in microelectronics, Chinese medical sciences, and internet of things for smart city. To support economic diversification of MSAR and deepen collaboration between MSAR and Guangdong Province in Hengqin island, UM will continue to invest in cutting-edge research and develop interdisciplinary programmes in key strategic areas including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and brain science and economics and finance. Leveraging its ‘4-in-1’ model of education and residential college system, UM provides all-round undergraduate education, nurturing talent to support social and economic development in MSAR and the GBA as a whole. With unprecedented growth and opportunities for development, UM offers promising career prospects to academics at all levels. It may be noted that English is the working language and the primary medium of instruction at UM.

The State Key Laboratory of Internet of Things for Smart City (University of Macau) invites applications for the position of Full/Associate Professor, who will also be a joint faculty member in the Faculty of Science and Technology.

State Key Laboratory of Internet of Things for Smart City (University of Macau) - SKL-IOTSC

The State Key Laboratory of Internet of Things for Smart City (University of Macau) is expected to promote smart city development in prospective of IoT, Big Data Technology and Engineering in Macao and inject a fresh impetus to the development of the Greater Bay Area by enhancing research and training in the field and providing technical support plans for improving economic performance, people’s quality of life, and social management. More details about the State Key Laboratory are available from https://skliotsc.um.edu.mo/.

Faculty of Science and Technology - FST

Faculty of Science and Technology aims to provide programmes for undergraduate and graduate education with quality reaching international standard. It strives to become a research active unit advancing the knowledge of engineering and science, and serves the community and industry as an agent of technological innovation and educational advancement. Currently, about 90 faculty members from diverse international backgrounds serve in this faculty. More details about the Faculty of Science and Technology are available from http://www.fst.um.edu.mo/.

Qualifications

Applicants should possess a Ph.D. degree in Electrical Engineering or a related field and demonstrate excellence in teaching, research and service. English will be the primary working language and proficiency in Chinese or Portuguese is a plus. The applicant’s research and academic achievements should meet internationally recognized standards of excellence. Priority will be given to, but not restricted to the following research areas:


	Power Systems and Integrated Energy Systems
	Power Electronics
	Cyber-Physical Energy Systems
	Renewable Energy Integration and Storage
	Low-Carbon Development and Market Mechanisms 


The selected candidate is expected to assume duty in the 3rd quarter of 2025.

Remuneration

A taxable annual remuneration starting from MOP1,250,200 (approximately USD154,350) for the position of Full Professor, MOP1,052,800 (approximately USD129,980) for the position of Associate Professor will be commensurate with the successful applicants’ academic qualification and relevant professional experience. The current local maximum income tax rate is 12% but is effectively around 5% - 7% after various discretionary exemptions. Apart from competitive remuneration, UM offers a wide range of benefits, such as medical insurance, provident fund, on-campus accommodation/housing allowance and other subsidies. Further details on our package are available at: https://career.admo.um.edu.mo/learn-more/.

Application Procedure

Applicants should visit https://career.admo.um.edu.mo/ for more details, and apply ONLINE. Review of applications will commence upon receiving applications and continue until the position is filled. Applicants may consider their applications not successful if they are not invited for an interview within 3 months of application.

Human Resources Section, Office of Administration

University of Macau, Av. da Universidade, Taipa, Macau, China 

Website: https://career.admo.um.edu.mo/;
Email: vacancy@um.edu.mo
Tel: +853 8822 8577;
Fax: +853 8822 2412

The effective position and salary index are subject to the Personnel Statute of the University of Macau in force. The University of Macau reserves the right not to appoint a candidate. Applicants with less qualification and experience can be offered lower positions under special circumstances.

***Personal data provided by applicants will be kept confidential and used for recruitment purpose only***

** Under the equal condition of qualifications and experience, priority will be given to Macao permanent residents**


University of Macau

The basic salary of approximately EUR 3.578,80

Austria, Vienna Danubepier Hov

51 Faculty of Physics
Startdate: 01.01.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc)
Limited until: 31.12.2027
Reference no.: 3284

Your personal sphere of influence:

The Marie Skłodowska-Curie Actions Doctoral Network (MSCA-DN) "Magnetic Soft Matter for Robotics" (MAESTRI, Grant ID 101119614) is an interdisciplinary research training network involving 7 universities and 2 companies from 5 countries. It is funded under the "first pillar" of the Horizon Europe program called "Excellent Science". MSCA-DN MAESTRI addresses the need for training a new kind of expert in the emerging application field of magnetic soft robotics, which we believe will lead to groundbreaking technologies in the near future. It is an interdisciplinary collaboration among specialists from various fields, including Materials Science, Biology, Physics, and Engineering Science.
https://maestri-project.eu/

You will be working in the Dipolar Soft Matter group at the Faculty of Physics with the objective of developing robust and predictive simulation approaches that enable accurate magneto-mechanical coupling for modeling magnetic elastomers. The aim is to gain a fundamental understanding of the interplay between magnetic particle shape, concentration, embedding techniques, and the magneto-mechanical responses of elastomers.

As part of the Doctoral Network, you will actively collaborate with other nodes, particularly through secondments to Ostbayerische Technische Hochschule Regensburg to gain complementary expertise on materials for control design and experimentation, and to the University of Ljubljana to acquire expertise in materials characterization and optical feedback concepts. To gain exposure to the industrial implementation of magnetic elastomers, an extended stay at Prensilia — a spin-off company of the Scuola Superiore Sant'Anna, with extensive experience in designing and developing multi-articulated grippers — is also planned.

Your future tasks:


	develop, implement, test and employ a coarse-grained, bead-spring-based approach to simulate both bulk and semi-finite samples of magnetic elastomers with predefined compressibility.
	perform extensive simulation, aiming at establishing the relationship between internal structure of the elastomer and its mechanical response with particular emphasis on the elastomer free surface deformation.
	Presentation of research activities at international conferences
	Publications of research papers


This is part of your personality:


	Completed Master studies in physics or related disciplines (applied mathematics, physical chemistry or theoretical/computational chemistry)
	Knowledge of statistical physics and classical mechanics
	Excellent command in written and oral English (C1)
	Team player and high social/communicative skills
	Experience in computer simulations of soft condensed matter is a strong requirement


What we offer:

Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part-time work (upon agreement).

Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment.

Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport.

Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge.

Fixed-term contract and fair salary: The basic salary of approximately EUR 3.578,80 (14 times a year).

Equal opportunities for everyone: We look forward to diverse personalities in the team!

It is that easy to apply:

To apply for this position, kindly provide:


	a letter of motivation including a 1-page statement of your research interests, relevant skills and experience;
	a CV (Europass model mandatory) including publication list (if publications are available);
	copies of relevant certificates and
	names and contact details of at least two referees willing to write confidential letters of recommendation.


Attach all application documents to an email message as a single PDF file (maximum size 5 MB).

To be considered for this position, please send your complete application with the tag DC5 in the subject line to our recruitment email address application.maestri.physik@univie.ac.at

(Please do not use any additional text in the subject line of your email except DC5.)

If you have any questions, please contact:

Sofia Kantorovich

sofia.kantorovich@univie.ac.at

We look forward to new personalities in our team! 
The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

University of Vienna. Space for personalities. Since 1365.

Data protection

​Application deadline: 12/15/2024


Tashkent State Technical University

About

Impact Rankings

Impact Rankings 2024801-1000^th

No Poverty 2024601-800^th

Zero Hunger 2024201-300^th

Good Health and Wellbeing 20241001+

Quality Education 2024801-1000^th

Gender Equality 2024801-1000^th

Clean Water and Sanitation 2024401-600^th

Affordable and Clean Energy 2024101-200^th

Decent Work and Economic Growth 2024401-600^th

Industry, Innovation and Infrastructure 2024401-600^th

Reduced Inequalities 2024801-1000^th

Sustainable Cities and Communities 2024401-600^th

Responsible Consumption and Production 2024401-600^th

Climate Action 2024101-200^th

Life below Water 2024201-300^th

Life on Land 2024101-200^th

Peace, Justice and Strong Institutions 2024601-800^th

Partnership for the Goals 2024801-1000^th

Discover similar universities

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Tashkent State Technical University

About

Impact Rankings

.css-1lk1zhk{display:block;-webkit-box-flex:1;-webkit-flex-grow:1;-ms-flex-positive:1;flex-grow:1;}Impact Rankings 2024.css-4ju6x1{display:block;font-size:1.25rem;line-height:1.375;font-weight:600;color:#595959;}.css-4ju6x1>sup{font-size:65%;display:inline-block;width:0;word-wrap:normal;}801-1000th

No Poverty 2024601-800th

Zero Hunger 2024201-300th

Good Health and Wellbeing 20241001+

Quality Education 2024801-1000th

Gender Equality 2024801-1000th

Clean Water and Sanitation 2024401-600th

Affordable and Clean Energy 2024101-200th

Decent Work and Economic Growth 2024401-600th

Industry, Innovation and Infrastructure 2024401-600th

Reduced Inequalities 2024801-1000th

Sustainable Cities and Communities 2024401-600th

Responsible Consumption and Production 2024401-600th

Climate Action 2024101-200th

Life below Water 2024201-300th

Life on Land 2024101-200th

Peace, Justice and Strong Institutions 2024601-800th

Partnership for the Goals 2024801-1000th

Discover similar universities

Impact Rankings 2024801-1000^th

No Poverty 2024601-800^th

Zero Hunger 2024201-300^th

Quality Education 2024801-1000^th

Gender Equality 2024801-1000^th

Clean Water and Sanitation 2024401-600^th

Affordable and Clean Energy 2024101-200^th

Decent Work and Economic Growth 2024401-600^th

Industry, Innovation and Infrastructure 2024401-600^th

Reduced Inequalities 2024801-1000^th

Sustainable Cities and Communities 2024401-600^th

Responsible Consumption and Production 2024401-600^th

Climate Action 2024101-200^th

Life below Water 2024201-300^th

Life on Land 2024101-200^th

Peace, Justice and Strong Institutions 2024601-800^th

Partnership for the Goals 2024801-1000^th