Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- Newcastle University
- University of Nottingham
- University of Exeter
- Swansea University
- University of East Anglia
- Imperial College London;
- The University of Manchester
- University of Cambridge
- University of Exeter;
- University of Cambridge;
- University of Warwick
- Loughborough University
- UCL
- University of Birmingham;
- University of Sheffield
- AALTO UNIVERSITY
- Bangor University
- Manchester Metropolitan University;
- The University of Edinburgh
- The University of Edinburgh;
- University of East Anglia;
- University of Leeds
- ;
- City St George’s, University of London
- Edinburgh Napier University;
- King's College London
- Loughborough University;
- Manchester Metropolitan University
- Swansea University;
- The University of Manchester;
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Bradford;
- University of Bristol
- University of Nottingham;
- University of Oxford;
- University of Plymouth
- University of Surrey
- University of Warwick;
- Abertay University
- European Magnetism Association EMA
- KINGS COLLEGE LONDON
- Liverpool John Moores University
- Newcastle University;
- Nottingham Trent University
- Oxford Brookes University
- The Open University;
- UWE, Bristol;
- Ulster University
- University of Bristol;
- University of Essex
- University of Hull;
- University of Liverpool
- University of Liverpool;
- University of Oxford
- University of Plymouth;
- University of Reading;
- University of Sheffield;
- University of Surrey;
- University of York;
- 51 more »
- « less
-
Field
-
PhD Studentship in Aeronautics: Real-time machine learning and optimisation for extreme weather (AE0073) Start Date: Between 1 August 2026 and 1 July 2027 Introduction: Climate change is
-
CDT in Machine Learning Systems About the CDT Machine Learning has a dramatic impact on our daily lives built on the back of improved computer systems. Systems research and ML research are symbiotic
-
quantum mechanical effects are typically too expensive for simulations of disordered systems like liquids. This PhD will develop and deploy the tools needed high-fidelity simulations: machine learned
-
these barriers by putting together a world-leading data resource on suicide and self-harm, and powerful machine learning methodologies compatible with epidemiological principles to produce high-quality evidence
-
. The National Centre for Suicide Prevention and Self-harm Research (NCSR) is tackling these barriers by putting together a world-leading data resource on suicide and self-harm, and powerful machine learning
-
You will receive project-specific training in numerical modelling tools and techniques and in machine learning. Eligibility requirements If you have received a First-class Honours degree, or a 2:1
-
change accelerate, we urgently need smart, evidence-based tools to plan, manage, and protect our marine ecosystems. At the forefront of this innovation is machine learning. Its ability to process complex
-
Research theme: "Next Generation Wireless Networks", "Signal Processing", "Machine Learning" UK only How to apply: uom.link/pgr-apply-2425 This PhD project aims to design novel resource allocation
-
filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
-
synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project