Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- Newcastle University
- University of Nottingham
- ;
- University of Exeter
- University of Birmingham
- University of Birmingham;
- University of East Anglia
- University of Exeter;
- Imperial College London;
- Harper Adams University
- The University of Manchester;
- UCL
- AALTO UNIVERSITY
- Edinburgh Napier University;
- Loughborough University;
- Swansea University
- UNIVERSITY OF VIENNA
- University of Bradford;
- University of Cambridge
- University of Cambridge;
- University of East Anglia;
- University of Manchester
- University of Surrey
- Loughborough University
- Manchester Metropolitan University;
- Queen's University Belfast
- Royal College of Art
- The Institute of Cancer Research
- The University of Edinburgh
- The University of Manchester
- University of Liverpool;
- University of Plymouth
- University of Plymouth;
- University of Sheffield
- University of Warwick
- University of Warwick;
- Abertay University
- Bangor University
- Cranfield University;
- Edinburgh Napier University
- Imperial College London
- Lancaster University
- Nature Careers
- Newcastle University;
- Northumbria University
- Oxford Brookes University
- Queen Mary University of London
- Royal Holloway, University of London;
- Swansea University;
- The Open University;
- The University of Edinburgh;
- Ulster University
- University of Bristol
- University of Derby
- University of Essex
- University of Hull
- University of Hull;
- University of Kent;
- University of Leeds;
- University of Liverpool
- University of London
- University of Newcastle
- University of Nottingham;
- University of Oxford;
- University of Surrey;
- 56 more »
- « less
-
Field
-
). Additional project costs will also be provided. Overview Offshore Floating Wind (OFW) is key to unlocking deep-water renewable energy and achieving the global Net Zero targets. However, dynamic power cables
-
coordination capabilities essential for operations in complex urban environments. With advancements in 5G mobile networks, Artificial Intelligence (AI)-driven navigation, Internet of Things (IoT) connectivity
-
Variability Lab (led by Professor Emily Farran) and the Cerebra Network (co-led by Dr Moss). They will collaborate with PhD, Clinical Doctoral, Masters and undergraduate students engaged in neurodevelopmental
-
for the ‘Course Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the programme of study You will then need to provide the following
-
biologically-inspired deep learning and AI models (NeuroAI). The computational models we work with include vision deep learning models (including topographical deep neural networks), multimodal vision and
-
instrumentation of the structure, whilst effective, can be logistically expensive to implement for the entire network. To address these challenges, the project aims to develop a novel, population-based indirect
-
. This PhD project will develop a Confidential and Explainable AI framework for EV charging networks. You will explore cutting-edge techniques such as privacy-preserving analytics, Trusted Execution
-
postgraduate degree. For more information on English language requirements, please visit this page . Further details The School of Computing at the University of Kent and Huawei invites applications for 2 fully
-
members of the Business Disability Forum and Stonewall University Champions Programme. Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and
-
environment, and may link to a broader programme on high-fidelity modelling for net-zero technologies. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 Years Sponsor EPSRC Supervisors Francesco