Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Imperial College London
- ;
- UNIVERSITY OF SURREY
- University of Nottingham
- Aston University
- City University London
- KINGS COLLEGE LONDON
- Nature Careers
- UNIVERSITY OF SOUTHAMPTON
- ; University of Aberdeen
- CRANFIELD UNIVERSITY
- Nottingham Trent University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Edinburgh;
- UNIVERSITY OF MELBOURNE
- University of Bristol
- University of Cambridge
- University of London
- University of Oxford
- University of Sheffield
- University of Surrey
- University of Surrey;
- 12 more »
- « less
-
Field
-
Research Fellow - OSMOSIS research programme Apply online Job number SHMS00480 School / Service School of Health & Medical Sciences Department Nursing Location Myddelton Street Building Contract
-
.: topics in Bayesian Inference and Robotics; ‘Science’ covers any typical topic in Natural Science and Engineering (Epidemiology, Biology and basic science in biomedicine are included but clinical medical
-
.: topics in Bayesian Inference and Robotics; ‘Science’ covers any typical topic in Natural Science and Engineering (Epidemiology, Biology and basic science in biomedicine are included but clinical medical
-
Inference and Robotics; ‘Science’ covers any typical topic in Natural Science and Engineering (Epidemiology, Biology and basic science in biomedicine are included but clinical medical themes are not covered
-
Inference and Robotics; ‘Science’ covers any typical topic in Natural Science and Engineering (Epidemiology, Biology and basic science in biomedicine are included but clinical medical themes are not covered
-
& Engineering Supervising Principal Investigator: Professor Alex Rothman Research project area: Pulmonary Hypertension (PH) The fellow will work on an MRC funded study involving the implantation of pulmonary
-
are a skilled and enthusiastic R programmer with a strong background in bioinformatics or computational statistics, capable of maintaining and extending complex software packages while collaborating
-
-makers of tomorrow. Through a bespoke training and mentoring programme, Fellowships will provide successful candidates with the opportunity to excel as an excellent self-directed researcher, develop
-
-makers of tomorrow. Through a bespoke training and mentoring programme, Fellowships will provide successful candidates with the opportunity to excel as an excellent self-directed researcher, develop
-
Collaborating closely with data curators, multi-omics data scientists and AI engineers to integrate and enrich disease datasets, and test and validate models Applying hybrid modelling approaches to limited data