Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- ;
- University of Oxford
- KINGS COLLEGE LONDON
- AALTO UNIVERSITY
- Imperial College London
- Nature Careers
- UNIVERSITY OF SOUTHAMPTON
- University of Birmingham
- UNIVERSITY OF VIENNA
- Durham University
- Heriot Watt University
- King's College London
- University of Cambridge
- University of Cambridge;
- University of London
- University of Nottingham
- University of Sheffield
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Southampton
- UNIVERSITY OF SURREY
- University of Glasgow
- University of Liverpool
- University of Manchester
- Plymouth University
- QUEENS UNIVERSITY BELFAST
- Technical University of Denmark
- University of Newcastle
- University of Oxford;
- University of Southampton;
- ; University of Oxford
- Brunel University
- CRANFIELD UNIVERSITY
- Cardiff University
- College of Chemistry and Molecular Engineering, Peking University
- EMBL-EBI - European Bioinformatics Institute
- Liverpool John Moores University
- Medical Research Council
- Northumbria University;
- Nottingham Trent University
- Queen's University Belfast
- Queen's University Belfast;
- UCL;
- UNIVERSITY OF MELBOURNE
- University of Bath;
- University of Leeds
- University of Leeds;
- University of Lincoln
- University of Plymouth;
- University of Reading
- University of Sheffield;
- University of West London
- 41 more »
- « less
-
Field
-
annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
-
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
-
sustainability, performance, and reliability. Our research leverages optimization techniques, applied machine learning, and statistical analysis to achieve these objectives. Through the DecAI project we will work
-
developing ideas for application of research outcomes. This post also be linked to research activities linked to the Faculty’s research platforms such as the Power Electronics, Machines and Control Research
-
Health Regulations. Assist in project resource requirements and managing student projects. Job Requirements: Have a PhD Degree in Computer Engineering/Computer Science/Electrical Engineering or equivalent
-
developing machine learning or data science approaches for patient stratification and genetic association analyses using cardiac magnetic resonance imaging in biobank populations. Successful applicants will
-
one of the following analysis techniques (multiple preferred): normative modelling, dimensionality reduction techniques, machine learning, deep-learning, state space modelling, advanced statistics