Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- ;
- KINGS COLLEGE LONDON
- AALTO UNIVERSITY
- Durham University
- Heriot Watt University
- University of Cambridge
- University of London
- King's College London
- UNIVERSITY OF VIENNA
- Aston University
- University of Liverpool
- ; King's College London
- DURHAM UNIVERSITY
- Manchester Metropolitan University
- Nature Careers
- Swansea University
- ; Technical University of Denmark
- ; University of Cambridge
- ; University of Oxford
- Birmingham City University
- City University London
- Imperial College London
- Lancaster University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Medical Research Council
- Royal College of Art
- University of Bath
- University of Birmingham
- University of Glasgow
- University of Hull
- University of Lincoln
- University of Manchester
- 23 more »
- « less
-
Field
-
projects. It is essential that you hold a PhD/DPhil in a quantitative or computer science related subject (e.g. Statistics, Machine Learning, Biostatistics, AI, Engineering), and have post-qualification
-
project investigating mechanosensing in Diptera. This post will focus on using detailed wing geometry models and kinematic measurements in computational fluid and structural dynamics simulations to recover
-
About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
-
, state-of-the-art laboratories, high-performance computing, and industry collaboration through the London Institute for Healthcare Engineering. About the role We are looking for a highly motivated
-
Engineering epitomises the forward-looking transformations taking place at the Manchester Metropolitan University. The faculty is poised to be one of the leading research institutes in the UK. You will be
-
of the research programme is to develop EHR common data model specifications and to advance knowledge in the field of psychiatry EHR research, including clinical risk prediction modelling. The appointee will work
-
) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research activities and a wide-ranging portfolio of education programmes. Celebrating diversity and
-
from interactions with a large number of colleagues in chemistry, engineering, material science, computation, and systems analysis at the Universities of Bath, Cambridge, Cardiff, Liverpool, Oxford and
-
applications. In this role, you will take the lead on an independent project within our broader research programme. Your work will centre on identifying and characterising novel regulators of the immune response
-
to develop coupled sub-models within a system dynamics framework. Working with colleagues from the Karlsruhe Institute of Technology, the candidate will build a behavioural sub-model using the CRAFTY GB model