Sort by
Refine Your Search
-
Country
-
Program
-
Employer
- ;
- University of Oxford
- University of London
- University of Exeter
- The University of Southampton
- University of Glasgow
- King's College London
- Queen's University Belfast
- University of Bristol
- University of Cambridge
- University of Newcastle
- University of Nottingham
- University of Surrey
- ; University of Cambridge
- CRANFIELD UNIVERSITY
- Cranfield University
- KINGS COLLEGE LONDON
- Plymouth University
- QUEENS UNIVERSITY BELFAST
- UNIVERSITY OF SOUTHAMPTON
- Universitat Pompeu Fabra - ETIC
- University of Leicester
- University of Liverpool
- 13 more »
- « less
-
Field
-
Statistics. The postholder will join the research team led by Dr John Busby and Prof Liam Heaney working on several projects related to chronic inflammatory disease, with an initial focus on chronic
-
This fixed term full-time post creates an opportunity to further your career in modern “omics”, big data analysis and hypertension! We are looking for a PhD/higher degree holder in statistics
-
at The University of Manchester. You will hold an MSc and/or PhD (or equivalent) in epidemiology, medical statistics / biostatistics, health data science, health services research, or some other quantitative academic
-
Assistant to join the Unit for Medical Statistics (UMS) in the School of Life Course & Population Sciences. The postholder will contribute to the work undertaken by existing staff and take day-to-day
-
Location: Department of Statistics, 24-29 St Giles', Oxford We are seeking to recruit a Postdoctoral Research Assistant funded by Wellcome. This postholder will work on the development and
-
statistical approaches to the study of the genetic architecture of human complex traits, with a focus on modelling statistical interactions between genetic mutations in DNA using Biobank-scale data
-
statistical methods for biomedical applications. These internships are funded by NIHR and might ideally suit 2nd and 3rd year undergraduate students and students having recently graduated in Mathematics
-
of Masters Programmes and a substantial number of postgraduate research students. We undertake research on a wide range of issues relating to human evolution, with a fo cus on model-based statistical inference
-
health and social care challenges of the 21st century. We employ traditional statistical and epidemiological methods, alongside cutting-edge artificial intelligence algorithms to gain insights into real
-
professional knowledge and successful track record in securing research funding. As a member of the LRWE, you will undertake statistical analysis of cardiometabolic real-world data from classical observational