Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- Imperial College London;
- University of East Anglia
- University of Nottingham
- AALTO UNIVERSITY
- Loughborough University
- The University of Manchester
- University of Sheffield
- ;
- Bangor University
- KINGS COLLEGE LONDON
- The University of Edinburgh;
- The University of Manchester;
- University of Birmingham
- University of Birmingham;
- University of Cambridge
- University of Cambridge;
- University of Warwick
- Edinburgh Napier University;
- Oxford Brookes University
- University of Bristol
- University of East Anglia;
- University of Nottingham;
- University of Sheffield;
- University of Surrey
- ; The University of Manchester
- ; University of Exeter
- European Magnetism Association EMA
- Harper Adams University
- King's College London
- King's College London;
- Liverpool John Moores University
- Loughborough University;
- Manchester Metropolitan University;
- Nature Careers
- Newcastle University
- The University of Edinburgh
- UCL
- Ulster University
- University of Essex
- University of Exeter
- University of Exeter;
- University of Leeds
- University of Liverpool
- University of Newcastle
- University of Oxford
- University of Oxford;
- University of Warwick;
- 38 more »
- « less
-
Field
-
both sites. The project sits at the interface of cell line engineering, protein science and machine learning and you will receive advanced training in these areas while developing methods to accelerate
-
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
-
This self-funded PhD research project aims to advance the emerging research topics on physics-informed machine learning techniques with the targeted application on predictive maintenance (PdM
-
Research theme: Fluid Mechanics, Machine Learning, Ocean Waves, Ocean Environment, Renewable Energy, Nonlinear Systems How to apply: How many positions: 1 Funding will cover UK tuition fees and tax
-
Project title: Privacy/Security Risks in Machine/Federated Learning systems Supervisory Team: Dr Han Wu Project description: In the wake of growing data privacy concerns and the enactment
-
contribute significantly to these growing fields. This PhD position is ideal for candidates interested in the following areas of machine learning: Geometric learning: exploiting the structure of data (e.g
-
approaches to couple machine learning potentials with molecular mechanics force fields, and they will investigate the use of machine learning potentials as data sources for training force fields. They will
-
develop methodologies (such as acoustic emission method) detecting early signs of damage, leaks, or degradation before they become critical. We will also leverage the latest developments in machine learning
-
on Machine Learning and Psychophysiological Deception Detection. The studentship is part sponsored by GCHQ and funded for up to 3.5 years with fees and a stipend at the standard UKRI rate. The position is only