Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- ;
- University of Oxford
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- University of Birmingham
- Imperial College London
- UNIVERSITY OF SOUTHAMPTON
- DURHAM UNIVERSITY
- Durham University
- University of Glasgow
- Heriot Watt University
- King's College London
- University of Bristol
- University of Nottingham
- University of Surrey
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Swansea University
- UNIVERSITY OF SURREY
- University of Cambridge
- City University London
- Glyndwr University
- Heriot-Watt University;
- Kingston University
- Nature Careers
- UNIVERSITY OF GREENWICH
- UNIVERSITY OF VIENNA
- University of Cambridge;
- University of Greenwich
- University of Leeds
- University of Manchester
- University of Sheffield
- University of Surrey;
- 22 more »
- « less
-
Field
-
. The successful applicant will use state of the art inference algorithms to design, use and share the findings of epidemiological models that integrate across large and diverse datasets including capture-mark
-
highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to predict the impact of mutations on genes in the avian flu virus and the viral host which
-
binding pockets. About the role We are seeking a highly motivated researcher to develop artificial intelligence based novel algorithms and computational workflows to identify domain functional families
-
learning methods, such as longitudinal analysis methods, latent variables models, clustering algorithms, missing data and clinical trial analysis Strong publication record Experience in women and children’s
-
in implementing, testing and validating complex minimisation algorithms that can be used for adaptive trials. Application & interview 8 Experience of collaborating on successful research proposals
-
Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
-
the coordination of large-scale robot systems (ground and aerial). The ideal candidate will possess hands-on experience with designing and implementing reinforcement learning algorithms, and deploying them onto real
-
for AI based algorithms. Research experience in these areas will be highly valued. The successful candidate will also contribute to the formulation and submission of research publications, development
-
, including: Robot Learning: Creating algorithms that empower robots to learn autonomously from interactions and adjust to new tasks. Manipulation: Enhancing techniques for precise and adaptable object handling
-
bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms Downloading a copy of our Job Description Full