Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- University of East Anglia
- University of Exeter
- Imperial College London;
- The University of Manchester
- University of Exeter;
- Loughborough University
- Newcastle University
- The University of Edinburgh;
- The University of Manchester;
- University of Birmingham;
- University of Cambridge;
- AALTO UNIVERSITY
- Bangor University
- UCL
- University of Bristol
- University of Cambridge
- University of East Anglia;
- University of Sheffield
- University of Surrey
- University of Warwick
- ;
- Edinburgh Napier University;
- KINGS COLLEGE LONDON
- Loughborough University;
- Manchester Metropolitan University
- Oxford Brookes University
- Swansea University
- Swansea University;
- University of Birmingham
- University of Nottingham;
- University of Oxford;
- University of Sheffield;
- European Magnetism Association EMA
- King's College London
- King's College London;
- Liverpool John Moores University
- Manchester Metropolitan University;
- The University of Edinburgh
- Ulster University
- University of Bradford;
- University of Bristol;
- University of Essex
- University of Hull;
- University of Leeds
- University of Liverpool
- University of Liverpool;
- University of Newcastle
- University of Oxford
- University of Plymouth
- University of Surrey;
- University of Warwick;
- University of York;
- 44 more »
- « less
-
Field
-
. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
-
sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
-
to also improve and scale the process. We have made major contributions in this area, including the use of Machine learning to discover new cryoprotectants [Nature Communications 2024, 15, 8082
-
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
-
monitoring and conservation applications, while Bristol offers advanced training in machine learning, spatiotemporal modelling and AI applications to animal behaviour. Together, they provide computational
-
infrastructure where it is most urgently needed. Applicants should be comfortable working with quantitative analytical methods (specific machine learning skills can be developed during the PhD). Willingness
-
Investment technology, ethics and strategy Equity and other asset classes Financial econometrics and machine learning. Corporate finance and accounting Corporate governance and shareholder value Corporate
-
Start Date: Between 1 August 2026 and 1 July 2027 Introduction: This project fuses machine learning (ML) based inverse design approaches and topology optimisation (TO) to realise multiscale
-
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
-
(CHF), tailored to complex geometries typical of fusion reactor cooling systems. Compile a comprehensive dataset of boiling parameters to support machine learning-based analysis of two-phase flow