Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; University of East Anglia
- ; The University of Manchester
- ; University of Warwick
- University of Nottingham
- ; Loughborough University
- ; Swansea University
- ; University of Nottingham
- ; University of Surrey
- ; University of Exeter
- ; University of Leeds
- ; University of Plymouth
- University of Cambridge
- ; University of Birmingham
- ; The University of Edinburgh
- ; University of Oxford
- ; University of Reading
- ; University of Sheffield
- ; Cranfield University
- ; Manchester Metropolitan University
- ; University of Southampton
- Swansea University
- University of Exeter
- University of Oxford
- University of Sheffield
- ; Anglia Ruskin University
- ; Aston University
- ; City St George’s, University of London
- ; London South Bank University
- ; Midlands Graduate School Doctoral Training Partnership
- ; Newcastle University
- ; Queen Mary University of London
- ; UWE, Bristol
- ; University of Bradford
- ; University of Bristol
- ; University of Greenwich
- ; University of Hull
- Aston University
- Newcastle University
- Sheffield Hallam University
- Ulster University
- University of Birmingham
- University of Glasgow
- University of Liverpool
- University of Newcastle
- 36 more »
- « less
-
Field
-
science, along with proven skills in prototyping software using real-time 3D engines and implementing machine learning models. With 50+ researchers and PhD students, the Centre for Sustainable Cyber Security (CS2
-
Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical
-
to machine learning and deep neural networks, into the DG finite element solver to reduce computational costs while maintaining the accuracy. The key objective of this work will be to provide step-change
-
but opportunity to attend conferences and to link with industrial experts in the field. The applicant is envisioned to further enhance and develop world class skills in AI and Machine Learning with
-
background in Computer Science, Mathematics. Students with interests in machine learning, deep learning, AI, uncertainty quantification, probabilistic methods are encouraged to apply. For eligible students
-
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
-
. Candidates must have a strong motivation for research and excellent programming skills. Expertise of developing computer vision and machine learning algorithms would be desirable, with an interest in image
-
This forward-looking PhD project merges performance science with advanced data analytics and machine learning to further enhance performance prediction in elite rugby union. The successful candidate
-
& machine learning
-
(or equivalent) in an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject area: Medical imaging, biomedical engineering, computer science & IT