Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- ; The University of Edinburgh
- ; University of Nottingham
- Harper Adams University
- University of Cambridge
- ; Newcastle University
- ; City St George’s, University of London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Loughborough University
- ; University of Bristol
- ; University of Leeds
- ; University of Southampton
- Imperial College London
- University of Newcastle
- ; Brunel University London
- ; Cranfield University
- ; University of Exeter
- ; University of Oxford
- ; University of Surrey
- AALTO UNIVERSITY
- Newcastle University
- The University of Manchester
- University of Sheffield
- ; Edge Hill University
- ; University of Cambridge
- ; University of Sheffield
- ; University of Warwick
- Abertay University
- Heriot Watt University
- KINGS COLLEGE LONDON
- University of Exeter
- University of Manchester
- University of Oxford
- ; Coventry University Group
- ; Imperial College London
- ; King's College London
- ; Royal Northern College of Music
- ; University of East Anglia
- ; University of Plymouth
- ; University of Reading
- ; University of Stirling
- ; University of Strathclyde
- ; University of Sussex
- Heriot-Watt University;
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Glasgow
- University of Leicester
- University of London
- University of Nottingham;
- University of Warwick
- 46 more »
- « less
-
Field
-
materials science and hydrogen technologies. The industrial sponsor, Airbus, is committed to net zero aviation by 2050 and is pioneering LH2 powered aircraft. This partnership provides a unique industrial
-
systems to act as an oversight of the AI. This is costly, complex, and time consuming, nullifying the benefits of using an AI approach. This project’s two aims are (1) Establish the best approach
-
and networking. They will be working within a vibrant community of research degree students and researchers at both institutes. The post-holder must have a relevant first (or postgraduate) degree in
-
coalitions for delivering reliable, low-carbon energy services. Collaborating closely with UK Power Networks, SSE Energy Solutions, and the University of East London, you will develop robust economic Model
-
The decarbonisation of heat demand, for the domestic sector in the UK, is expected to require significant deployment of air source heat pumps (ASHP), and heat networks (other technologies being
-
of the Hub. Our approach enhances T2 (Interconnected QC systems) through verification methods for connected networks, supports T1 (Integrated quantum demonstrators) via hardware-agnostic metrics, and enables
-
categories for a better capability of managing the uncertainty related to system complexity and data availability to achieve more accurate RUL estimations The student will have the opportunity to work with
-
vehicles, data centers, etc.). These devices are mostly power electronic interfaced introducing new types of dynamic phenomena and the need for more detailed models, increasing complexity. In addition
-
similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural recordings Familiarity with neuroanatomy and neurophysiology Knowledge of dynamical
-
navigation framework aiming for applications requiring position assurance under the most complex navigation scenarios and increased uncertainty in available navigation information. The project contributes