Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; University of Birmingham
- ; The University of Manchester
- University of Cambridge
- ; Swansea University
- ; Newcastle University
- University of Manchester
- University of Sheffield
- University of Newcastle
- ; University of Southampton
- University of Oxford
- ; Cranfield University
- ; University of Exeter
- ; University of Sheffield
- ; Brunel University London
- ; City St George’s, University of London
- ; Loughborough University
- ; University of Nottingham
- Abertay University
- Heriot Watt University
- Imperial College London
- UNIVERSITY OF VIENNA
- ; The University of Edinburgh
- ; University of Cambridge
- ; University of Oxford
- ; University of Plymouth
- ; University of Reading
- ; University of Warwick
- Newcastle University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Imperial College London
- ; King's College London
- ; Lancaster University
- ; Manchester Metropolitan University
- ; Royal Northern College of Music
- ; University of Bristol
- ; University of East Anglia
- ; University of Leeds
- ; University of Stirling
- ; University of Strathclyde
- ; University of Surrey
- AALTO UNIVERSITY
- Aston University
- Durham University
- Harper Adams University
- Heriot-Watt University;
- KINGS COLLEGE LONDON
- Manchester Metropolitan University
- The University of Manchester
- The University of Manchester;
- UNIVERSITY OF MELBOURNE
- University of Bristol
- University of Bristol;
- University of Cambridge;
- University of Glasgow
- University of Hertfordshire;
- University of Liverpool
- University of Plymouth
- 51 more »
- « less
-
Field
-
of the grade as required by the programme PIs The Person Knowledge, Skills and Experience Ability to work well as part of a team and rapidly acquire new skills Detailed subject knowledge relevant to cancer
-
electrolysis include slow responsiveness to varying renewable energy, high cost of balance of plants and power electronics systems and low energy efficiency, and limited lifespan of electrolysers. The main
-
problem-solving skills. Proven ability to work independently and collaboratively in a multidisciplinary environment. Excellent communication skills, engaging with both technical and non-technical
-
on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
-
of eligible participants, clinical trials in rare diseases often cannot achieve the standard 80% or 90% power requirements, alongside a 5% type I error rate, in the final analysis. There is widespread
-
for this studentship please contact the supervisor to see whether the flexibility might be available for you. Award Value Course fees are covered at the level set for Home students (c. £10,070 p.a.). The stipend (tax
-
, 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
-
, or similar. Organisation and excellent attention to detail. Excellent written and oral communication skills. Ability to work independently and problem solve. Good communication skills to effectively work with
-
innovation through applied research, bridging academia and industry. Students will have access to state-of-the-art laboratories, hardware/software resources, and design facilities, supporting AI-powered
-
Power Electronics, Machines and Control (PEMC) Research Institute , University of Nottingham. The project will be supported by the state-of-the-art electric motor manufacturing platforms at both locations