Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oxford
- ;
- UNIVERSITY OF VIENNA
- KINGS COLLEGE LONDON
- Durham University
- University of London
- King's College London
- University of Cambridge
- AALTO UNIVERSITY
- Heriot Watt University
- DURHAM UNIVERSITY
- Manchester Metropolitan University
- Nature Careers
- University of Birmingham
- Aston University
- Swansea University
- University of Glasgow
- University of Liverpool
- ; University of Cambridge
- ; University of Copenhagen
- Cardiff University
- Medical Research Council
- University of Manchester
- University of Nottingham
- ; Queen Mary University of London
- ; Technical University of Denmark
- ; The Francis Crick Institute
- ; The University of Manchester
- ; University of Kent
- ; University of Oxford
- ; University of Southern Denmark
- Birmingham City University
- City University London
- Imperial College London
- Kingston University
- King’s College London (University of London)
- Nottingham Trent University
- Roehampton University
- Royal College of Art
- Sheffield Hallam University
- University of Bath
- University of Leicester
- University of Lincoln
- University of Newcastle
- University of Reading
- University of West London
- 36 more »
- « less
-
Field
-
their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final
-
networks, with a focus on carbon emissions reduction and network telemetry. You will contribute to the development of a framework that reduces the carbon emissions of networks through the use of carbon-aware
-
network telemetry. You will contribute to the development of a framework that reduces the carbon emissions of networks through the use of carbon-aware network telemetry, and the implementation of new
-
surrounded by stunning countryside. Our talented scholars and researchers from around the world are tackling global issues and making a difference to people's lives. We believe that inspiring our people to do
-
work will be exclusively in-silico analysis of human rhythmic behaviour, including sleep and chronotype, and cardiometabolic disease. We will use publicly available data and apply causal inference
-
have an interest in the use of AI in healthcare. Proven competence in programming methods in Python and similar environments is also essential. Informal enquiries may be addressed to Professor David
-
processing, biomedical engineering, have a strong record of publication in engineering or computer science literature, and have an interest in the use of AI in healthcare. Proven competence in programming
-
listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out
-
. The University may be able to sponsor the employment of international applicants in this role; this will depend on a number of factors specific to the individual applicant. We welcome applications for flexible
-
, no later than 12 noon on Monday 1 September 2025. You will be required to upload a CV and a Supporting Statement as part of your application. Please do not attach any manuscripts, papers, transcripts, mark