Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- Newcastle University
- University of Sheffield
- The University of Manchester
- University of Cambridge
- University of East Anglia
- University of East Anglia;
- AALTO UNIVERSITY
- Loughborough University
- ; Swansea University
- University of Birmingham;
- University of Newcastle
- ;
- ; City St George’s, University of London
- The University of Manchester;
- University of Birmingham
- ; University of Exeter
- ; University of Southampton
- ; University of Surrey
- KINGS COLLEGE LONDON
- Loughborough University;
- University of Bristol
- University of Cambridge;
- University of Exeter
- University of Oxford
- ; The University of Manchester
- Durham University
- King's College London
- The Institute of Cancer Research
- The University of Edinburgh
- University of Glasgow
- University of Nottingham;
- University of Sheffield;
- University of Surrey
- ; Coventry University Group
- ; Imperial College London
- ; Loughborough University
- ; St George's, University of London
- ; The University of Edinburgh
- ; University of Birmingham
- ; University of Plymouth
- Abertay University
- Bangor University;
- Brunel University London
- Coventry University Group;
- Harper Adams University
- Imperial College London
- Manchester Metropolitan University
- Manchester Metropolitan University;
- NORTHUMBRIA UNIVERSITY
- Newcastle University;
- Oxford Brookes University
- Queen Mary University of London
- The University of Edinburgh;
- UCL
- UNIVERSITY OF VIENNA
- University of Glasgow;
- University of Greenwich
- University of Leeds
- University of Liverpool
- University of London
- University of Strathclyde;
- University of Sussex;
- University of Warwick
- University of Warwick;
- 56 more »
- « less
-
Field
-
of membrane Proteins and Receptors (COMPARE).3 We will focus on FFA44 and NTSR1 as model GPCRs. Building on our groups expertise in development of covalent chemical probes5 and protein labelling methods,6 a
-
(Beraza and Rushworth) whose work have a strong translational aim. This team will train the PhD student in a series of preclinical in vivo models; molecular biology and immunology methodologies; and complex
-
(CHF) phenomena – the prediction of which is key to safely designing and operating water based nuclear reactors. Current industrial modelling tools necessitate excessively conservative safety margins
-
patient samples. The Sheffield arm of the project will develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung
-
adversarial conditions. You will investigate how trustworthy AI models can be deployed across embedded healthcare devices, ensuring that decision-making remains interpretable, context-aware, and respectful
-
, and developing AI models to accurately distinguish real falls from other events. Number Of Awards One Start Date January or April 2026 Award Duration 4 Years Application Closing Date 14th November 2025
-
of quantitative analysis and statistical modelling to support the project’s aims of assessing the contribution of An. stephensi to malaria transmission relative to native malaria vectors across a range of
-
to enhance the UK’s energy system resilience through a whole-system analysis approach. Building on the proven WeSIM model, RENEW will upgrade its capabilities to incorporate electrified district heating and
-
as the advert will be removed once the position has been filled. As AI systems scale, privacy, security, and trustworthiness emerge as challenges. For instance, private data may be leaked during model
-
model to resolve wheat planting strategies that can be used to safeguard biodiversity and suppress rust outbreaks. Training You will be embedded in the international and multidisciplinary Saunders Lab