Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- ;
- University of Oxford
- University of Cambridge
- KINGS COLLEGE LONDON
- King's College London
- University of London
- Durham University
- UNIVERSITY OF SOUTHAMPTON
- University of Nottingham
- University of Birmingham
- Nature Careers
- AALTO UNIVERSITY
- The University of Southampton
- CRANFIELD UNIVERSITY
- UNIVERSITY OF VIENNA
- University of Newcastle
- Heriot Watt University
- Imperial College London
- UNIVERSITY OF MELBOURNE
- University of Glasgow
- University of Manchester
- Royal College of Art
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Leeds
- University of Liverpool
- ; University of Kent
- Cranfield University
- DURHAM UNIVERSITY
- Manchester Metropolitan University
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- Sheffield Hallam University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- UNIVERSITY OF SURREY
- University of Bath
- University of Sheffield
- University of Surrey
- ; Maastricht University
- ; Nanyang Technological University
- ; Royal Holloway, University of London
- ; Technical University of Denmark
- ; University of Copenhagen
- Birmingham City University
- Brunel University
- CZECH UNIVERSITY OF LIFE SCIENCES
- Cardiff University
- City University London
- Medical Research Council
- St George's University of London
- UNIVERSITY OF GREENWICH
- University of Bristol
- University of Greenwich
- University of Hull
- University of Leicester
- University of West London
- 45 more »
- « less
-
Field
-
the coordination of large-scale robot systems (ground and aerial). The ideal candidate will possess hands-on experience with designing and implementing reinforcement learning algorithms, and deploying them onto real
-
such approaches would be cost effective. To achieve this, you will be supported to undertake analyses using large data registries such as the Clinical Practice Research Datalink. This is an exceptional opportunity
-
the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
-
CRISPR and other molecular genetic technologies to study infection dynamics. Analyse Complex Data: Apply computational and biostatistical methods to analyse large data. Collaborate Across Disciplines: Work
-
Ability to develop and sustain successful collaborations Essential Interview Ability to work effectively with colleagues and collaborators in a large and diverse research team Essential Application Ability
-
Grade 6: £34,982 - £40,855 per annum Reporting to the Professor Linda Mulcahy, the postholder will provide research support involving the collection and analysis of data which will support the
-
outputs will inform work undertaken in the group in several large collaborative grants and application areas, including cultural heritage, enterprise data management, and legal compliance. The ideal
-
large amounts of complex data. They should provide evidence of potential for research and publication at the highest level, as well as a strong interest in engagement in empirically-grounded, quantitative
-
From a Bletchley Park code-breaker to Nobel Prize-winners and the inventor of the phrase ‘Big Bang’, Research Fellows of St John’s have made remarkable contributions to the world. Now applications
-
with a multidisciplinary team of clinicians, data scientists, and data engineers to conduct epidemiological research on large-scale electronic datasets and develop common data model specifications