Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; University of East Anglia
- ; The University of Manchester
- University of Nottingham
- ; University of Warwick
- ; Swansea University
- ; Loughborough University
- ; University of Exeter
- ; University of Leeds
- ; University of Plymouth
- ; University of Surrey
- University of Cambridge
- ; Manchester Metropolitan University
- ; University of Birmingham
- University of Newcastle
- ; Newcastle University
- ; University of Nottingham
- ; University of Reading
- ; University of Sheffield
- Newcastle University
- Swansea University
- ; City St George’s, University of London
- ; Cranfield University
- ; Midlands Graduate School Doctoral Training Partnership
- ; The University of Edinburgh
- ; University of Southampton
- University of Exeter
- University of Oxford
- University of Sheffield
- ; Anglia Ruskin University
- ; Durham University
- ; Imperial College London
- ; London South Bank University
- ; The Francis Crick Institute
- ; UCL
- ; UWE, Bristol
- ; University of Bradford
- ; University of Bristol
- ; University of Cambridge
- ; University of Hull
- Aston University
- Sheffield Hallam University
- Ulster University
- University of Birmingham
- University of Glasgow
- University of Liverpool
- 37 more »
- « less
-
Field
-
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
-
approach could resolve this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat
-
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
-
. The system will leverage cutting-edge techniques in Natural Language Processing (NLP), Machine Learning (ML), and Multimodal Analysis to conduct adaptive interviews, assess candidate responses, and generate
-
Characterisation" "Data Science and Machine Learning in Materials" "Plastics Recycling and Circular Economy" How to apply: https://uom.link/pgr-apply-2425 How many positions: 1 This 3.5 year PhD is open to UK
-
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
-
. Simulations are suitable to characterise processes in healthy and diseased individuals including stroke patients. Machine learning methods might be considered to accelerate simulations. The project provides a
-
the Infrared sensors are working in overlapping field of view The Person (Essential) Knowledge, Skills and Experience Track record of design, deployment and evaluation of machine/deep learning-based techniques
-
in computer vision and intelligent transportation. Experience with tools such as MATLAB, Python or machine learning frameworks is highly desirable. Supervisor: Dr Ning Zhao (N.Zhao@bham.ac.uk