Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Nottingham
- University of Sheffield
- ; University of Exeter
- University of Cambridge
- ; City St George’s, University of London
- ; University of Birmingham
- ; University of Reading
- Imperial College London
- University of Newcastle
- ; Newcastle University
- ; University of Surrey
- ; University of Warwick
- ; Cranfield University
- ; University of Leeds
- University of Oxford
- ; The University of Edinburgh
- ; UCL
- ; University of Bristol
- ; University of Oxford
- ; University of Southampton
- ; University of Sussex
- AALTO UNIVERSITY
- Abertay University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- UNIVERSITY OF VIENNA
- University of Manchester
- ; Brunel University London
- ; Coventry University Group
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Edge Hill University
- ; Imperial College London
- ; Royal Northern College of Music
- ; UWE, Bristol
- ; University of Copenhagen
- ; University of East Anglia
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Sheffield
- ; University of Strathclyde
- Harper Adams University
- Heriot Watt University
- KINGS COLLEGE LONDON
- Nature Careers
- University of East London
- University of Liverpool
- 41 more »
- « less
-
Field
-
pharmaceutical manufacturing and additive manufacturing. Requirements: Candidates should have a background in one of: engineering, materials science, chemistry, and be willing to learn new disciplines and innovate
-
to make decisions, solve problems, and learn. Moving from rule-based systems to agents with strategic flexibility. The range and complexity of tactics, techniques, and procedures that are supported, as
-
structural alloys. The project will combine advanced phase-field fracture mechanics, continuum-scale chemo-thermo-mechanical modeling, and advanced machine learning techniques for enhanced prediction accuracy
-
needs. While muscle imaging from well-characterised patients and transcriptomic technologies provide rich data, these remain under-utilised for predictive modelling. Using machine learning, this project
-
at highest risk of kidney function decline, aiding trial prioritisation What you will learn and why it matters This PhD provides a rare skill set sought after in academia, biotech, and healthcare innovation
-
decision-making framework to facilitate the design of restoration strategies. In this project, the student will learn on their own time (i.e. self-learning) and under the guidance of the supervisors
-
includes over 500m2 of studio space at UWE’s Frenchay Campus. We invite studentship applications from enthusiastic individuals who are strongly motivated to help push the boundaries of machine learning and
-
, opening in autumn 2025 in the heart of Gloucester. Housed in the fully renovated former Debenhams building in Kings Square, this vibrant campus will be a hub for teaching, learning, and community engagement
-
shift in the world of hardware design. On the one hand, the increasing complexity of deep-learning models demands computers faster and more powerful than ever before. On the other hand, the numerical
-
participants Ideally, practical skills in one of (a) programming, (b) machine learning, and/or (c) design Responsibilities Developing and conducting novel research projects individually and on teams Developing a