Sort by
Refine Your Search
-
Listed
-
Employer
- King's College London
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Nottingham
- Ellison Institute of Technology
- University of Birmingham
- University of London
- Queen's University Belfast
- Queen's University Belfast;
- QUEENS UNIVERSITY BELFAST
- UCL;
- UNIVERSITY OF MELBOURNE
- London School of Hygiene & Tropical Medicine;
- The University of Manchester;
- The University of Southampton
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SURREY
- University of Cambridge;
- University of Leeds;
- University of Manchester
- University of Oxford
- University of Oxford;
- AALTO UNIVERSITY
- Francis Crick Institute
- Kingston University
- Middlesex University
- Middlesex University;
- Nuffield College
- Plymouth University
- Queen Mary University of London
- The Institute of Cancer Research;
- Ulster University;
- University College London
- University of Aberdeen - School of Medicine, Medical Sciences and Nutrition, Institute of Medical Sciences
- University of Birmingham;
- University of Exeter;
- University of Leeds
- University of Southampton;
- University of Stirling
- University of Sussex;
- University of Warwick;
- 30 more »
- « less
-
Field
-
We are looking for a highly motivated researcher, whose expertise lies in statistics, to work with Prof Theodore Kypraios on a project at the forefront of infectious disease modelling. The role
-
on the research and contribute to the preparation of manuscripts. The successful candidate will have a postgraduate, ideally doctoral degree in medical statistics or a relevant field and proven biostatistics
-
an excellent opportunity for someone who wants a career in “big data” research. The role requires strong skills and expertise in data science, statistics, or epidemiology. The successful candidate will have a
-
We are looking for a highly motivated researcher, whose expertise lies in statistics and computational methods, to work with Professors Theodore Kypraios and Philip O’Neill on an NIHR-funded project
-
an experienced, motivated quantitative Research Training Fellow to lead data integrative analyses in large-scale epidemiological studies of cancer and apply innovative methods in epidemiology, statistics and data
-
setting. We’re seeking a senior scientist with: A strong background in human genetics and statistics Proven expertise in analysing genomic and transcriptomic datasets A drive to tackle complex biological
-
statistical techniques to analyse large datasets, e.g. multivariate statistical analyses / survival analysis - Recent, relevant experience of using statistical packages STATA or R to conduct reproducible
-
Impairment Study 2 (BCVIS2), ascertained through primary clinical data collection and bespoke individual record linkage to the National Pupil Dataset (NPD) and Hospital Episode Statistics (HES) data. This is
-
in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. The Research Fellow will conduct statistical analyses
-
fluorescence- or luminescence-based readouts would be desired. You should be confident analysing quantitative experimental data, including concentration–response experiments, EC50 determination and statistical