Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- UNIVERSITY OF SOUTHAMPTON
- KINGS COLLEGE LONDON
- King's College London
- University of Birmingham
- University of Nottingham
- The University of Southampton
- University of Oxford
- CRANFIELD UNIVERSITY
- Nature Careers
- University of Cambridge
- University of London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UNIVERSITY OF MELBOURNE
- University of Leeds
- Cranfield University
- QUEENS UNIVERSITY BELFAST
- UNIVERSITY OF SURREY
- University of Surrey
- ; Xi'an Jiaotong - Liverpool University
- Brunel University
- CZECH UNIVERSITY OF LIFE SCIENCES
- City University London
- Durham University
- Imperial College London
- Manchester Metropolitan University
- RMIT UNIVERSITY
- Sheffield Hallam University
- St George's University of London
- UNIVERSITY OF GREENWICH
- University of Bristol
- University of Greenwich
- University of Hull
- University of Liverpool
- University of Manchester
- University of Stirling
- 26 more »
- « less
-
Field
-
Medicine Hub for Applied Bioinformatics). We are looking for an ambitious candidate with established expertise in bioinformatics, specifically dealing with large data sets and data integration. Knowledge
-
they are no longer eligible for the SFVS to see if things change. Quantitative and qualitative data will be collected through interviews and focus groups. A Research Fellow will also be appointed at Northumbria
-
analyst for an ARC South London study on multi-morbidity in children using CPRD data. The ARC South London Children’s and Young person theme is important as many children in south London experience high
-
, large-grant project on the epidemiology of bovine tuberculosis in wild badgers, using state-of-the-art Bayesian modelling approaches to study the drivers of infectiousness and transmission of infection in
-
using CPRD data. The ARC South London Children’s and Young person theme is important as many children in south London experience high levels of poor health, and unequal health and care outcomes. We
-
collaboration that has mapped emotional hotspots in four cities in the UK and EU using spatial analysis of social media data. The next phase of the project aims to incorporate explainable AI (XAI) to interpret
-
, development, implementation, and coordination of research and laboratory protocols to investigate transmission of enteric pathogens in low-income households of Salvador, Brazil within the context of large-scale
-
model fitting, including Bayesian model fitting, is desirable but not essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python
-
of a large multidisciplinary collaboration between LSHTM and Oxford Brookes University (lead partner), UCL, LSE, University of Leeds, University of Edinburgh, and a wide network of UK stakeholders
-
of a large multidisciplinary collaboration between LSHTM and Oxford Brookes University (lead partner), UCL, LSE, University of Leeds, University of Edinburgh, and a wide network of UK stakeholders