Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- University of Oxford;
- UNIVERSITY OF VIENNA
- King's College London
- Queen Mary University of London
- University of Liverpool
- Queen Mary University of London;
- Durham University
- Imperial College London
- The University of Edinburgh
- AALTO UNIVERSITY
- DURHAM UNIVERSITY
- Ellison Institute of Technology
- Imperial College London;
- Lancaster University
- Liverpool School of Tropical Medicine;
- Plymouth University
- University of Cambridge;
- University of Exeter;
- University of Leeds
- University of Liverpool;
- jobs.ac.uk
- 12 more »
- « less
-
Field
-
established and emerging bioinformatics, statistical modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics
-
Applications are invited for a Postdoctoral Research Associate in transportation data science and statistical modelling, based in the Centre for Transport Engineering and Modelling (CTEM
-
. About the role As Postdoctoral Researcher in Big Data for Cardiovascular Population Health, you will play a key role in applying machine learning, health statistics, and large-scale medical and population
-
intermediate statistical skills (e.g. conducting well thought out regressions). The postholder should also be comfortable dealing with a range of stakeholders from industry and government. The post is to start
-
, or be close to completing, a PhD in statistical genomics, genetic epidemiology, data science, computing, artificial intelligence, biomedical engineering, or a related field. You will have significant
-
, or be close to completing, a PhD in statistical genomics, genetic epidemiology, data science, computing, artificial intelligence, biomedical engineering, or a related field. You will have significant
-
, proteomics or whole-genome sequencing data, is essential, along with strong quantitative and computational skills. Experience using R, Python or other statistical programming languages to analyse biological
-
enrichment, LC-MS/MS workflows, and analysis of proteomics datasets using appropriate bioinformatic and statistical tools. You should have a strong interest in translational cancer research and knowledge
-
understanding of reproducible research, statistical analysis, and the integration of sequence data with associated clinical or biological metadata, alongside evidence of contributing to scientific publications
-
from vaccination, natural infection, and controlled human infection studies. The Postdoctoral Research Scientist in Computational Biology will apply established and emerging bioinformatics, statistical