Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- UNIVERSITY OF SOUTHAMPTON
- King's College London
- University of Nottingham
- The University of Southampton
- University of Birmingham
- KINGS COLLEGE LONDON
- Nature Careers
- University of Oxford
- CRANFIELD UNIVERSITY
- UNIVERSITY OF MELBOURNE
- University of Cambridge
- Sheffield Hallam University
- University of Leeds
- University of London
- CZECH UNIVERSITY OF LIFE SCIENCES
- Cardiff University
- City University London
- Cranfield University
- Durham University
- Imperial College London
- Liverpool John Moores University
- Manchester Metropolitan University
- QUEENS UNIVERSITY BELFAST
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- St George's University of London
- UNIVERSITY OF GREENWICH
- UNIVERSITY OF SURREY
- University of Bristol
- University of Greenwich
- University of Hull
- University of Liverpool
- University of Manchester
- University of Salford
- University of Stirling
- University of Surrey
- 26 more »
- « less
-
Field
-
An exciting opportunity is available for a talented researcher to join the large and successful School of Health Sciences at the University of Southampton. You will join a multidisciplinary team who
-
and refine algorithms and models for large-scale language processing tasks, with a focus on healthcare data Contribute to developing new models, techniques and methods for clinical machine learning
-
Charter Gold Award. About the role The appointee will participate in a large, multi-institutional and multidisciplinary project part of the The Severe Presentation of Infectious Disease (SPID) Genomic
-
factors underlying this condition. The project will involve analyzing genetic data from a large cohort of sudden death victims and conducting prospective family screening to identify family members at risk
-
for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. The post-holder will also be responsible for writing up the findings
-
interactions across a range of physical platforms to build large-scale, hybrid quantum networks. Our work spans rare-earth-ion-doped solids, alkali vapours, quantum dots, and nonlinear photonic media, aiming
-
. The postholder will work alongside a lived experience researcher and liaise closely with routine care psychological practitioners to facilitate recruitment, data collection, and for provision of technical support
-
/health researcher to work on a large, multi-disciplinary project with potential to fundamentally impact the behavioural treatment for people who have severe obesity. The post presents an excellent
-
properties of vibrational sources in large built-up structures, such as cars or airplanes. We will incorporate data from measurements and implement these sources into large-scale structure-borne sound
-
and interpreting research findings and results based on large scale media data sets Contributing to engagement with non-academic partners, co-produce new knowledge, contribute to public understanding