Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Cambridge
- University of Newcastle
- University of Oxford
- AALTO UNIVERSITY
- Imperial College London
- University of Liverpool
- University of Sheffield
- Heriot Watt University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- ; London School of Economics and Political Science
- ; Swansea University
- ; University of Cambridge
- Aston University
- Brunel University
- Durham University
- KINGS COLLEGE LONDON
- UNIVERSITY OF SURREY
- University of Leicester
- University of Nottingham
- 10 more »
- « less
-
Field
-
Location:Hammersmith Campus About the role: We are looking for a Research Associate or Research Assistant to join a research programme studying how the immune system responds to changes in lipid
-
the development of research and innovation funding applications. For more information about the Urban Sciences Building, please click here For more information about the School of Computing and our research, please
-
stakeholders. Demonstrated ability to manage iterative feedback cycles and refine deliverables accordingly. The skills, qualifications and experience required to perform the role are: A PhD in Computer
-
computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
-
within a Unix/Linux HPC or cloud computing environment Proficiency in programming (e.g. using Linux/Python and R), command-line applications, and programming standards such as version control High level
-
and empathic behaviours most effectively improve patient outcomes. In this role, you'll conduct NMA, perform data analysis, and contribute to research output. Your work will inform future NIHR funding
-
experiments; supporting other group members with data analysis and interpretation from both simulations and experimental data; and use the developed framework to design new materials with optimised performance
-
to create a steady flow of 1000 Bar low voidage emulsion (particle voidage greater than 40%). Alternatives include a high-pressure pump or batch filling and depressurising into a buffer / separation vessel
-
to create a steady flow of 1000 Bar low voidage emulsion (particle voidage greater than 40%). Alternatives include a high-pressure pump or batch filling and depressurising into a buffer / separation vessel
-
computational approaches. You will play a hands-on role in generating and analysing high-quality data that fuels discoveries, publications and therapeutic innovation. https://www.rdm.ox.ac.uk/research