Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- University of Birmingham
- Nature Careers
- University of Leeds
- University of Oxford
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Nottingham
- Imperial College London
- UNIVERSITY OF SOUTHAMPTON
- KINGS COLLEGE LONDON
- University of London
- University of Cambridge
- University of Glasgow
- CRANFIELD UNIVERSITY
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SURREY
- University of Sheffield
- University of Leeds;
- City University London
- King's College London
- Plymouth University
- Queen's University Belfast
- The University of Southampton
- University of Brighton
- Brunel University
- Nottingham Trent University
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast;
- University of Bristol
- University of Manchester
- University of Surrey
- University of the West of England
- ; University of Exeter
- ; University of Nottingham
- ; University of Oxford
- ; University of Warwick
- Birmingham City University
- Cardiff University
- Cranfield University
- Durham University
- Lancaster University
- Lancaster University;
- London Institute for Mathematical Sciences
- London School of Hygiene & Tropical Medicine;
- Nuffield College
- Sheffield Hallam University
- Technical University of Denmark
- UCL;
- University of Bradford;
- University of Exeter
- University of Glasgow;
- University of Leicester
- University of Liverpool
- University of Nottingham;
- University of Stirling
- 45 more »
- « less
-
Field
-
As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
-
are included but clinical medical themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data
-
. When joining us, you will receive: Generous annual leave: 25* Days Annual Leave plus Bank Holidays* & Closure Days* Generous pension scheme Cycle to Work & Electric Car Scheme Employee Assistance
-
themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
-
themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
-
, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
-
, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
-
working with NLP in general and LLMs in particular. They will also help to further develop machine learning models to predict clinical outcomes. Familiarity with current methods in this area is essential
-
+ inclusion (Stonewall Diversity Champion) and as a Disability Confident employer. We are proud signatories of the Armed Forces Covenant and welcome applications from service people. Further information Before
-
will receive: Generous annual leave: 35* Days Annual Leave (pro rata if part-time) plus Bank Holidays* & Closure Days* Generous pension scheme Cycle to Work & Electric Car Scheme Employee Assistance