Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Birmingham
- Nature Careers
- University of Nottingham
- UNIVERSITY OF SOUTHAMPTON
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- KINGS COLLEGE LONDON
- QUEENS UNIVERSITY BELFAST
- University of Leeds
- University of Manchester
- CRANFIELD UNIVERSITY
- King's College London
- UNIVERSITY OF SURREY
- University of London
- University of Oxford
- Brunel University
- Imperial College London
- The University of Southampton
- UNIVERSITY OF MELBOURNE
- University of Leeds;
- ; Technical University of Denmark
- ; University of Aberdeen
- ; University of Oxford
- CZECH UNIVERSITY OF LIFE SCIENCES
- Cardiff University
- London School of Hygiene & Tropical Medicine;
- Nottingham Trent University
- Plymouth University
- Queen's University Belfast
- Swansea University
- Technical University of Denmark
- University of Aberdeen;
- University of Brighton
- University of Bristol
- University of Glasgow
- University of Liverpool
- University of Newcastle
- University of Nottingham;
- University of Stirling
- 29 more »
- « less
-
Field
-
September 2025. The position comes with an allowance to cover international travel and computing. The successful applicant will work primarily with Dr Anjali Piette and Dr Guy Davies. The project will include
-
, supported by PEACEPLUS, a programme managed by the Special EU Programmes Body (SEUPB). The PEACEPLUS programme is co-funded by the European Union, the Government of the United
-
of peripheral biomarkers with experience covering pre-clinical models and translational and clinical projects. The post-holder will work closely with clinical teams and translational scientists andwill be
-
this project, leading the computational modelling of charging infrastructure required to meet electric mobility goals. You would work closely with another researcher on the project focussing on associated
-
. This interdisciplinary collaboration with the University of Lincoln and University of Liverpool focuses on developing innovative computational approaches that integrate advanced genomic analysis with state-of-the-art
-
evaluation of the feasibility and acceptability of a novel remote monitoring model in rheumatoid arthritis outpatient services across south-east London. KIS is a KHP-supported research programme aimed
-
performance computing systems in a way that is suitable for operational use. Implement and test different ML architectures, such as convolutional and encoders-decoder ANNs for predicting flooding in Bihar and
-
of Computer Science Full Time / Part Time Full Time Position Title: Research Assistant / Research Fellow – 15753-1 College/Department: College of Engineering, Design and Physical Sciences/Department of Computer
-
of fungal pathogens. The successful candidate will make extensive use of a range of in vivo models of fungal infection and will have access to the wide range of transgenic tools and in vivo immunology
-
. You will also be responsible for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. You will also be