Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Oxford
- University of Oxford;
- University of Liverpool
- Queen Mary University of London
- King's College London
- UNIVERSITY OF VIENNA
- University of London
- Queen Mary University of London;
- DURHAM UNIVERSITY
- Durham University
- University of Cambridge;
- The University of Edinburgh;
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- City St George’s, University of London;
- Durham University;
- Imperial College London
- ;
- AALTO UNIVERSITY
- Kingston University
- LIVERPOOL JOHN MOORES UNIVERSITY
- Royal Holloway, University of London;
- The Francis Crick Institute
- UCL;
- University of Exeter;
- University of Greenwich
- University of Nottingham
- Anglia Ruskin University
- Anglia Ruskin University;
- Bournemouth University;
- Edge Hill University
- Ellison Institute of Technology
- Goldsmiths
- Goldsmiths, University of London;
- Heriot Watt University
- Imperial College London;
- Lancaster University
- Liverpool School of Tropical Medicine;
- Loughborough University
- Lund University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Max Planck Society
- Oxford Brookes University
- The James Hutton Institute;
- The Rosalind Franklin Institute
- The University of Manchester;
- University of Aberdeen;
- University of Birmingham
- University of Dundee
- University of Dundee;
- University of Greenwich;
- University of Hull;
- University of Leeds
- University of Liverpool;
- University of Newcastle
- University of Plymouth;
- University of Reading;
- University of Sheffield
- University of Strathclyde;
- University of Warwick;
- jobs.ac.uk
- 50 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Biology
- Economics
- Engineering
- Chemistry
- Mathematics
- Humanities
- Science
- Social Sciences
- Education
- Materials Science
- Earth Sciences
- Business
- Electrical Engineering
- Environment
- Linguistics
- Psychology
- Law
- Arts and Literature
- Design
- Physics
- Sports and Recreation
- 13 more »
- « less
-
characterising chronic diseases and disease patterns from electronic health record (EHR) data through the development of advanced deep learning methodologies based on state-of-the-art foundation models. You will
-
contribute to a wave of ongoing developments deploying the escape-time technology on a broad range of measurement problems in biology. This role requires expertise in single molecule fluorescence experiments
-
, viral hepatitis and COVID-19. You will undertake research investigations in collaboration with and under the supervision of Professor Chloe Orkin in order to realise the objectives and development
-
of stimulated hydrogen generation in key geological settings. The role will focus on developing and applying high-sensitivity magnetic techniques to monitor hydrogen-generating water–rock reactions through
-
will lead laboratory-based research to investigate the reaction pathways, mechanisms and kinetics of stimulated hydrogen generation in key geological settings. The role will focus on developing and
-
development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities. Queen Mary’s commitment
-
September 2026. You work in the field of quantitative social science and will have the opportunity to work in a team with interdisciplinary and international networks, while further developing your own
-
)’ project together with a range of healthtech development and evaluation work across the themes of the NIHR HealthTech Research Centre (HRC) in Community Healthcare. Within PROMISE, the postholder will lead
-
, including research assistants, PhD students, postdocs, and software developers. The ART team strives to be a diverse research environment that is open and welcoming to all. This is a full time post (35 hours
-
group is to develop cutting-edge translational imaging biomarkers. You will also support the integrated analysis of imaging findings with chemical analysis and other wet lab assays towards characterising