Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Nottingham
- Nature Careers
- University of Leeds
- University of Oxford
- King's College London
- UNIVERSITY OF SURREY
- University of Birmingham
- KINGS COLLEGE LONDON
- Nottingham Trent University
- University of Glasgow
- University of London
- ; Chemnitz University of Technology
- ; Imperial College London
- ; King's College London
- ; University of Sussex
- EMBL-EBI - European Bioinformatics Institute
- Imperial College London
- Liverpool John Moores University
- Manchester Metropolitan University
- Queen's University Belfast
- University of Bristol
- University of Liverpool
- 13 more »
- « less
-
Field
-
biosciences, chemistry, computing and technology, as well as engineering, forensic science, mathematics, physics and sport science. This mix of traditional and modern subjects encourages and inspires future
-
the results of this project. Candidates must possess a good first Degree (or Master's) and PhD (or near competition) in Engineering, Mathematics, Physics, Computer Science, or related disciplines. Your working
-
innovation sectors. The Department of Computing and Mathematics, within the Faculty of Science and Engineering, is a dynamic and research-active community comprising over 80 academic staff and 2,000 students
-
. You will have a PhD in Mathematics, Astrophysics, or a closely allied discipline, with a strong background in numerical methods. Ideally you would have expertise in one of the above options, or some
-
the grade and purpose of the post PhD in one of the following areas: Mathematical Modelling, Statistics, Infectious Disease Epidemiology or related subject or a similar quantitative discipline. Programming
-
, computer science, physics, statistics, mathematics or related field. Demonstrated developing and implementing federated learning methods (such as optimization & aggregation, privacy techniques and personalisation
-
, in a relevant topic and relevant experience with mathematical modelling of infectious diseases. Strong knowledge of a programming language (e.g. R, Python) is essential. Experience in mathematical
-
, in a relevant topic and relevant experience with mathematical modelling of infectious diseases. Strong knowledge of a programming language (e.g. R, Python) is essential. Experience in mathematical
-
, mathematics) in higher education. We particularly welcome applications from women and other under-represented groups for this post, and all appointments will be made on merit. Please note all of our vacancies
-
ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex. Please note that this position may be subject to ATAS