Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Newcastle University
- University of Nottingham
- Cranfield University
- The University of Manchester
- University of Warwick
- University of Birmingham
- Loughborough University;
- University of Surrey
- University of East Anglia
- University of East Anglia;
- University of Exeter
- ;
- Manchester Metropolitan University;
- University of Cambridge
- University of Oxford
- University of Warwick;
- Swansea University
- University of Cambridge;
- Imperial College London
- University of Leeds
- University of Sheffield
- Manchester Metropolitan University
- UNIVERSITY OF VIENNA
- University of Essex
- University of Newcastle
- University of Nottingham;
- University of Surrey;
- Cranfield University;
- King's College London
- King's College London;
- Newcastle University;
- University of Birmingham;
- University of Essex;
- University of Reading
- City St George’s, University of London;
- Harper Adams University
- Imperial College London;
- Lancaster University;
- Loughborough University
- Northeastern University London
- The University of Manchester;
- Ulster University
- University College London
- University of Bristol
- University of Lancashire
- University of Manchester
- University of Plymouth
- University of Strathclyde
- Cardiff University
- City St George’s, University of London
- Hartpury University and College;
- LIVERPOOL JOHN MOORES UNIVERSITY
- Lancaster University
- London School of Economics and Political Science;
- Midlands Graduate School Doctoral Training Partnership
- Oxford Brookes University;
- Queen Mary University of London;
- Queen's University Belfast;
- SOAS University of London;
- Selden Society;
- The Medicines And Healthcare Products Regulatory Agency;
- The Open University
- The Open University;
- The University of Edinburgh;
- UWE, Bristol
- UWE, Bristol;
- University of Bath;
- University of Bradford;
- University of Derby;
- University of Dundee;
- University of Glasgow;
- University of Greenwich
- University of Hertfordshire
- University of Hertfordshire;
- University of Leeds;
- University of Liverpool
- University of Liverpool;
- University of Oxford;
- University of Sheffield;
- University of Sussex
- University of Sussex;
- University of Westminster;
- 72 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Engineering
- Economics
- Chemistry
- Biology
- Materials Science
- Mathematics
- Humanities
- Science
- Linguistics
- Arts and Literature
- Psychology
- Business
- Earth Sciences
- Design
- Electrical Engineering
- Environment
- Physics
- Sports and Recreation
- Law
- Philosophy
- Social Sciences
- 13 more »
- « less
-
next-generation machine learning (ML) models that are both data-efficient and transferable, enabling more reliable catastrophic risk prediction, defined as the probability of exceeding critical safety
-
In this PhD you will help explore a new trajectory for AI research, EVE - everyone virtuoso everyday - to succinctly summarise the drive of the work. That is, we are interested in defining and evaluating a class of AI technology that enable expressive, individual and masterful interactions, like...
-
. The Materials for eXtremes (M4X) research group (https://more.bham.ac.uk/M4X/ ) investigates new alloys for extreme environments from fusion & fission reactors, to aerospace gas turbines and concentrated solar
-
overseas. Training can be provided in computational fluid dynamics, machine learning, and nonlinear dynamics. These skills are highly valued across a wide range of industries. Recent data reveals that Fluid
-
CFD predictions with quantum gas LiDAR measurements, using simulated and experimental data to relate observed concentration fields to underlying emission sources. This will include the development
-
within livestock environments contains a wealth of information about animal behaviour, health and emotional state, yet it remains relatively under-utilised in commercial dairy systems. This PhD will
-
network integration for emerging low-energy opto-electronic AI systems and beyond. The challenge: Machine learning and neural networks are super-charging the complexity of problems that computer algorithms
-
About the Project As federated learning systems become increasingly embedded in high‑stakes domains where data cannot be directly shared, such as healthcare and finance, the ability to selectively
-
Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
-
from the establishment fund for Prof Gary Williamson, who recently joined Queen’s from Australia. The position is to generate data in the area of polyphenols and health and publish high quality papers