Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ; The University of Manchester
- ;
- Cranfield University
- University of Nottingham
- ; University of Bristol
- ; University of Nottingham
- AALTO UNIVERSITY
- ; Cranfield University
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Southampton
- ; Brunel University London
- ; City St George’s, University of London
- ; Loughborough University
- ; University of Birmingham
- UNIVERSITY OF VIENNA
- University of Sheffield
- ; Coventry University Group
- ; Durham University
- ; Imperial College London
- ; Lancaster University
- ; Swansea University
- ; UCL
- ; University of Greenwich
- ; University of Leeds
- ; University of Oxford
- ; University of Sussex
- ; University of Warwick
- Abertay University
- Harper Adams University
- Imperial College London
- University of Cambridge
- University of Manchester
- University of Newcastle
- 24 more »
- « less
-
Field
-
, which is not possible with current systems. It aligns with key STEM themes and EPSRC’s strategic focus on ‘Engineering’, ‘Health and Medical Technologies’, and ‘AI, Digital, and Smart Applications
-
PhD Project: 3D-printing next-generation electro-actuators for soft robots and devices Applications are invited for a PhD project within the Faculty of Engineering, in the Centre for Additive
-
-funded doctoral training programme dedicated to academic research in space propulsion. R2T2 PhD programmes are already underway at nine UK universities, and the programme overall is centred on the Westcott
-
fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
-
: • Experience with programming (Python, MATLAB), • background in aerospace, computer science, robotics, or electrical engineering graduates, • hands on skills in implementation of fusion
-
The Institute for Energy Systems at the School of Engineering of the University of Edinburgh is looking for enthusiastic, self-motivated applicants for an exciting PhD position that will research
-
fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
-
multidisciplinary research team within the School of Electrical, Electronic and Mechanical Engineering. SMG is known for its work in computational mechanics, fatigue, fracture, and advanced materials modeling
-
honours degree in materials science, physics, engineering, or a related discipline. The ideal candidate will be self-motivated, with an interest in both computational modelling and practical manufacturing
-
applicants embarking on a brand-new LSBU research programme—current PhD students and LSBU staff members are not eligible for this award. Why choose LSBU for your doctoral journey? LSBU is a dynamic, applied