Lorestan University

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United Kingdom, Guildford

Applications are invited for a Research Fellow to join Dr Lindsay Broadbent’s group in the Section of Virology, School of Biosciences, University of Surrey.

The role

This is an exciting opportunity to become part of a collaborative translational research project exploring the association of respiratory syncytial virus (RSV) infection and the development of childhood asthma. The successful candidate will use complex respiratory epithelial cell models grown and differentiated at air-liquid interface to explore virus-host interactions and subsequent innate immune responses and signalling pathways.

We are therefore looking for a highly motivated individual with or about to obtain a PhD in a biological science related subject, and proven ability in cell biology and virus research. A background in culturing primary cells and/or organoid systems, virology, innate immunology and transcriptomics would also be highly beneficial.

Our well-equipped laboratory is located in the School of Biosciences at the beautiful campus of the University of Surrey, close to London. The dynamic and growing Section of Virology is comprised of five research groups focused on the molecular and cellular basis of disease caused by a range of important human and animal pathogens including herpesviruses, poxviruses, SARS-CoV2, RSV and arboviruses.

What’s in it for you?

We think Surrey is a fantastic place to work with a beautiful, green campus, a picturesque lake (great for summertime picnics!) and fantastic sports facilities. In addition to a competitive salary, you will receive a yearly incremental pay rise, generous leave of 25 days holiday plus 7 university closure days and 8 bank holidays, a market leading pension, access to world-class leisure facilities, a range of travel schemes, and supportive family friendly benefits including an excellent on-site nursery.

How to apply

When completing the online application form, please ensure you include a cover letter.

For an informal discussion, please contact Dr Lindsay Broadbent (l.broadbent@surrey.ac.uk)

Interviews are likely to be held on the 13th or 16th December

We acknowledge, understand and embrace cultural diversity

Further details
Job Description


University of Surrey

The basic full-time salary of EUR 4,752.30

Austria, Vienna Danubepier Hov

39 Faculty of Computer Science
Startdate: 01.01.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc)
Limited until: 28.02.2027
Reference no.: 3289

Among the many reasons to research and teach at the University of Vienna there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as personalities who need space to continuously strive for top international research and scientific excellence. At the same time, they enjoy support and liberties that are not a given at other institutions. Does that appeal to you? Then welcome to our team!

About the team:

The research group Scientific Computing, led by Prof. Siegfried Benkner, focuses on research in programming paradigms, languages, compilers, and software and hardware infrastructures for scientific computing to support users in the process of solving increasingly complex compute- and data-intensive problems in science and engineering on high-end parallel and distributed computing platforms.
The selected candidate will participate in an international and interdisciplinary research project under the supervision of Asst. Prof. Atakan Aral.  The project aims to ensure seamless and reliable monitoring of critical infrastructures (e.g., facilities for water supply and electricity generation) through real-time and distributed processing of IoT sensor data. The project team will include doctoral and master’s students in our group, as well as international partners from the University of Sheffield, UK, and University College Dublin, Ireland.

Research Group: https://sc.cs.univie.ac.at/

Project Website: https://troci.holisun.com/

Your future tasks:

Active participation in research and administration, which means:


	You develop an independent research profile in the field of distributed systems.
	You get involved in the research and management of the EU project mentioned above.
	You supervise the research conducted by master’s and doctoral students.
	You engage with colleagues from adjacent fields and collaborate on interdisciplinary research.
	You publish internationally and give lectures.
	You apply for projects and raise third-party funds.


This is a purely research-oriented position with no teaching duties, unless the candidate specifically requests them, in which case additional compensation will be provided.

These are your qualifications:


	You have completed doctoral/PhD studies in Computer Science or a closely related field, or you expect to complete them by 31.12.2024.
	You have established experience in distributed systems, ideally in the areas of the Internet of Things, Edge/Cloud Computing, Edge AI/Federated Learning, or Sensor Networks, with a focus on resource management, latency/performance optimization, fault tolerance, scalability, or energy efficiency/sustainability.
	You have research competence and initiative proven through international publications in reputable conferences and journals.
	You have excellent written and spoken English skills, demonstrated by high-quality academic writing and communication. (Our working language is English.)
	You are experienced in research management and leading project staff.
	You are a team player with strong social/communicative skills.


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 full-time salary of EUR 4,752.30 (14 times a year) with a fixed term of  2 years+ (depending on the start date) until 28.02.2027. Potential extension is possible based on performance and availability of funds.

Equal opportunities for everyone:  We look forward to diverse personalities in the team!

What you need to apply:


	Scientific curriculum vitae, including links to DBLP and/or Scholar profile
	List of publications and presentations
	Motivation letter, which summarizes your research interests/plans and demonstrates how you meet each of the required qualifications above with tangible outcomes
	Doctoral degree or confirmation of defense date
	Abstract of doctoral thesis
	Contact details of persons who can provide reference letters


You can apply via our job portal / Apply now – button

If you have any questions, please contact:

Atakan Aral

atakan.aral@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: 12/20/2024


University of Vienna

United Arab Emirates, Abu Dhabi

Description

The Center for Smart Engineering Materials at New York University Abu Dhabi are inviting applications for a fully funded Research Scientist position in the areas of chemistry, materials science and mechanical engineering with interests in smart materials, biomimetic and bioinspired materials, surface science, solid-state chemistry, microscopy, macro/micro/nanodevices, photochemistry, and photophysics.

The Research Scientist will work under the supervision of Dr. Panče Naumov (https://nyuad.nyu.edu/en/research/faculty-labs-and-projects/center-for-smart-engineering-materials.html ) on the design, preparation and physicochemical characterization of new materials and devices. The lab is well equipped with state-of-the-art facilities for X-ray diffraction, spectroscopy, microscopy, thermal and mechanical materials characterization, and organic synthesis. Moreover, the post-doctoral associate will have access to the well-equipped core research facilities of NYUAD.

Applicants must hold a PhD or equivalent degree in Materials Science, Chemistry, Physics or Mechanical Engineering.

Priority will be given to candidates with a background in the following primary and secondary areas of expertise:


	Organic synthetic chemistry: Design of synthetic pathways to new small molecules and polymers and compete characterization by using NMR and other spectroscopic methods.
	Devices: Design, fabrication and testing of small mechanical devices, experience with working in a clean room, microfluidics, experience with automated sampling and chemical analysis
	Microscopy: Advanced methods of atomic force microscopy in solid and liquid state, scanning electron microscopy in non-atmospheric conditions, TEM of organic materials  


For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests and three letters of reference, all in PDF format. If you have any questions, please email Prof. Panče Naumov at pn21@nyu.edu

The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, transcript of degree, a one-page summary of research accomplishments and interests, and at least 2 letters of recommendation, all in PDF format.

About NYUAD:

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.


New York University Abu Dhabi Corporation

£20,513 per annum pro rata (20 hours per week)

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research.

We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee.

Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference.

The role

To research and develop software modules, tools and API for a project that aims to create a secure decentralised data marketplace based on distributed ledger technology, web technologies and AI.

The role will focus on developing solutions to address barriers to information and data exchange such as data quality and interoperability, and efficient processing and management of time-series datasets and metadata originating from IoT sources (such as environment sensors and meters) closer to the data provider at the edge, rather than the cloud, which will require innovation in compute efficiency and scalability. 

The role will also focus on IoT data engineering, analysis and management, improve data quality through data and machine learning processing pipelines. It will also focus on developing AI algorithms for semantically enriching data assets with domain knowledge, which feed into building knowledge graphs, search and discovery mechanisms.

The outputs will be integrated and validated against a set of real-world IoT use cases.

About you

A talent for technical problem solving is a must. You will encounter a wide range of technologies and data and will be given many opportunities to develop further your skills.

You will be responsible in contributing to iterative deliverables for the project such as technical reports, software integrations and source code releases. You will also be expected to travel abroad for project meetings and dissemination events. This is a collaborative project and will require you to actively liaise with other organisations.

Essential


	A PhD in Computer Science or Engineering (other closely related area) or and MSc with experience. 
	Experience with programming in Python, Java, or JavaScript in the context of data and metadata management and analysis for web-based solutions.
	Experience in Data engineering, analysis and management workflows for times-series (tabular, structured) data.
	Experience in developing workflows for metadata management, which can involve schema modelling, formatting, annotation, enrichment, search and discovery.
	Experience in Machine Learning model development/optimisation and workflows for time-series (tabular, structured) data, and for (generative) metadata enrichment.
	Experience with tools for source code management, automation pipelines for software development and machine learning processes, and deployment.
	Experience with virtualisation tools such as Docker and Kubernetes.
	Experience in technical and report writing for software-based projects.
	Strong critical thinking skills and ability to develop innovative solutions.
	Ability to communicate effectively and work efficiently within a research and development team. 
	Ability to take initiative, learn how to use the necessary tools for the research, and work independently, and collaboratively for integration tasks.


 Desirable


	An PhD in Computer Science or Engineering.
	Contributions to peer-reviewed publications, or other similar output.
	Experience with developing tools for linked or graph-based data.


How to apply

For more information or to be considered for the role, please apply via the University Website.

Further details
Job Description


United Kingdom, Southampton

The Infectious Disease and Epidemiology Research group in the School of Clinical and Experimental Sciences wish to appoint two Research Facilitators to help support the technical aspects of research activities and to assist with the day to day running of research studies undertaken by the group. The research group is based within the Faculty of Medicine at Southampton General Hospital.

Our group is undertaking a number of projects looking at the epidemiology of respiratory pathogens. Applications are invited from those with relevant experience of laboratory based microbiology and experience of research governance. Experience of bacterial identification is desirable. These posts are full-time but consideration will be given to those who wish to work part-time. Applicants must be available to work with some flexibility.

These posts are required to start as soon as possible and are fixed term contracts until 31st December 2025, with the possibility of extension subject to funding. Prospective applicants are encouraged to contact Professor Stuart Clarke (s.c.clarke@soton.ac.uk) for more information.

Working at the University of Southampton:

Check out the staff benefits and why you should join us at The University of Southampton!


Lorestan University

About

Rankings

World University Rankings 20241001-1200^th

Engineering 2024601-800^th

Life Sciences 2024801-1000^th

Physical Sciences 2024801-1000^th

Discover similar universities

Key Student Statistics

Subjects Taught at Lorestan University

Physical Sciences801–1000^th

Life Sciences801–1000^th

Engineering601–800^th

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Lorestan University

About

Rankings

Engineering 2024601-800th

Life Sciences 2024801-1000th

Physical Sciences 2024801-1000th

Discover similar universities

Key Student Statistics

Subjects Taught at Lorestan University

Physical Sciences.css-umjwst{margin-left:0.5rem;vertical-align:middle;font-size:0.75rem;color:#595959;}801–1000th

Life Sciences801–1000th

Engineering601–800th

Engineering 2024601-800^th

Life Sciences 2024801-1000^th

Physical Sciences 2024801-1000^th

Physical Sciences801–1000^th

Life Sciences801–1000^th

Engineering601–800^th