Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Sheffield
- University of Oxford
- Cranfield University
- Swansea University
- University of Nottingham
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Bristol
- University of Manchester
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- AALTO UNIVERSITY
- University of Cambridge;
- University of Oxford;
- DURHAM UNIVERSITY
- Imperial College London
- Newcastle University
- University of Exeter
- ;
- Aston University
- Durham University
- The University of Manchester
- UNIVERSITY OF SOUTHAMPTON
- Ulster University
- University of Cambridge
- University of Glasgow
- Imperial College London;
- King's College London
- Loughborough University
- Nottingham Trent University
- The University of Edinburgh;
- The University of Manchester;
- UNIVERSITY OF SURREY
- University of Bristol;
- University of Exeter;
- Heriot Watt University
- University of Birmingham
- University of Warwick;
- City University London
- EMBL-EBI - European Bioinformatics Institute
- Lancaster University
- Manchester Metropolitan University;
- Nature Careers
- Newcastle University;
- Regent College London, part of the Regent Group;
- Swansea University;
- UCL;
- University of East Anglia
- University of Glasgow;
- University of Hertfordshire;
- University of Liverpool
- University of Newcastle
- University of Sheffield;
- University of Surrey
- University of Warwick
- Arm
- Aston University;
- Cranfield University;
- European Magnetism Association EMA
- Liverpool John Moores University;
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- MRC Laboratory of Medical Sciences
- Medical Research Council
- Oxford Brookes University
- Research England;
- STFC - The Science and Technology Facilities Council;
- The University of Southampton
- UCL
- University of Bath
- University of Birmingham;
- University of Hull
- University of Kent;
- University of Leeds
- University of Leeds;
- University of Liverpool;
- University of London
- University of Nottingham;
- University of Southampton;
- University of Strathclyde;
- University of Surrey;
- University of Ulster
- University of West London
- Wenzhou Business College
- 72 more »
- « less
-
Field
-
evaluate numerical methods that combine low and high order formulations, and develop hybrid discretisation frameworks that apply varying fidelity across the computational domain. This includes creating
-
environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
-
computational counting and sampling, including developing new algorithms and analysis techniques. Typical tools and topics are Markov chains Monte Carlo, Lovasz local lemma, high dimensional expanders, geometry
-
requires a PhD in Computer Science or closely related field. Candidates should have a strong knowledge of either Core Algorithms, Data Structures, Algorithms and complexity analysis, as well as proficiency
-
and UK-wide research programme in probabilistic AI. The hub will develop the next generation of mathematically principled, scalable and uncertainty-aware AI algorithms. This will be achieved through
-
interpreted by regression and tree-based machine learning algorithms to obtain even better mutants and develop mechanistic hypotheses. Various collaborations with ON-TRACT network partners across Europe allow a
-
environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
-
management of microgrids, battery scheduling, and handling uncertain renewable generation without relying on forecasted data [1]-[5]. Studies reveal that parametric tuning of RL algorithms such as state and
-
computational cognition. The successful candidate will work at the intersection of AI research, cognitive modelling, and human–machine interaction, contributing to the design of algorithms that incorporate
-
hybrid discretisation frameworks that apply varying fidelity across the computational domain. This includes creating conservative transmission algorithms that ensure consistent exchange of information