Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Birmingham
- Imperial College London
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- KINGS COLLEGE LONDON
- UNIVERSITY OF SOUTHAMPTON
- King's College London
- University of Nottingham
- Queen's University Belfast
- The University of Southampton
- University of Leeds
- CRANFIELD UNIVERSITY
- QUEENS UNIVERSITY BELFAST
- University of Cambridge
- University of Leeds;
- University of London
- University of Oxford
- University of Surrey
- ; University of Oxford
- Birmingham City University
- Lancaster University
- Lancaster University;
- Manchester Metropolitan University
- Nottingham Trent University
- Queen's University Belfast;
- Technical University of Denmark
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SURREY
- University of Bristol
- University of Glasgow
- University of Lincoln
- University of Liverpool
- University of Manchester
- University of Sheffield
- 25 more »
- « less
-
Field
-
Introduction 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
-
decision making, while you will be capable to apply machine learning and computational algorithms of social choice. This post is associated with following projects: Embedding EDI in the Distribution
-
: Erlangen Programme for AI” This is a 5-year programme supported by the EPSRC and is a collaboration of mathematicians and computer scientists at the University of Southampton, the University of Oxford (lead
-
exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics
-
We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
-
agents, including uncertainty quantification at the agent’s level. The project will bring together ideas from Statistics, Probability, Statistical Machine Learning, Statistics and Game Theory and is an
-
: Erlangen Programme for AI” This is a 5-year programme supported by the EPSRC and is a collaboration of mathematicians and computer scientists at the University of Southampton, the University of Oxford (lead
-
the ability to develop novel theory. They must also have strong development skills, to enable them to lead the process of prototyping new interactive systems with sensors, build machine learning
-
-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological insights that drive our translational and fundamental research programmes. In
-
web technologies Experience in teaching bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms