Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- University of Nottingham
- ; University of Birmingham
- University of Cambridge
- University of Manchester
- ; Swansea University
- ; University of Warwick
- ; University of Nottingham
- ; Newcastle University
- ; University of Reading
- University of Sheffield
- ; University of Southampton
- ; University of Leeds
- ; Cranfield University
- ; Loughborough University
- ; University of Exeter
- ; University of Surrey
- ; The University of Edinburgh
- ; University of Bristol
- ; University of East Anglia
- ; University of Oxford
- ; University of Sheffield
- ; Manchester Metropolitan University
- ; University of Sussex
- University of Newcastle
- University of Oxford
- ; University of Bradford
- AALTO UNIVERSITY
- Harper Adams University
- Newcastle University
- ; Edge Hill University
- ; University of Strathclyde
- Imperial College London
- University of Liverpool
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Cambridge
- ; University of Plymouth
- Abertay University
- UNIVERSITY OF VIENNA
- University of Warwick
- ; Aston University
- ; Brunel University London
- ; Durham University
- ; King's College London
- ; Lancaster University
- ; UWE, Bristol
- ; University of Greenwich
- Heriot Watt University
- KINGS COLLEGE LONDON
- ; Bangor University
- ; Bournemouth University
- ; City St George’s, University of London
- ; Coventry University Group
- ; Imperial College London
- ; London South Bank University
- ; Midlands Graduate School Doctoral Training Partnership
- ; Queen Mary University of London
- ; Queen's University Belfast
- ; Royal Holloway, University of London
- ; Royal Northern College of Music
- ; Technical University of Denmark
- ; The Open University
- ; University of Essex
- ; University of Hertfordshire
- ; University of Huddersfield
- ; University of Hull
- ; University of Kent
- ; University of Liverpool
- ; University of Portsmouth
- ; University of Stirling
- ; University of York
- Aston University
- Brunel University
- Edge Hill University
- Loughborough University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- UNIVERSITY OF EAST LONDON
- UNIVERSITY OF SURREY
- University of East London
- University of Leicester
- 72 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Materials Science
- Chemistry
- Mathematics
- Environment
- Linguistics
- Science
- Humanities
- Psychology
- Arts and Literature
- Sports and Recreation
- Business
- Electrical Engineering
- Earth Sciences
- Education
- Physics
- Social Sciences
- Philosophy
- 12 more »
- « less
-
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
-
. The successful candidate will be encouraged to train further and develop skills to undertake high quality empirical and methodological research in health economics. There will also be opportunities to participate
-
analysis. Qualifications A high-grade undergraduate degree (first class or upper second) in Computer Science or MSc in a related field Skills Knowledge of software development and programming Good
-
in correctly identifying high acuity cases within an increasing volume of lower acuity calls. This project will use mixed methods to assess the impact of this change. Data modelling and analysis will
-
. Key Accountabilities • Design and develop embedded AI algorithms for appliance profiling using smart meter data • Benchmark performance against state-of-the-art NILM approaches using datasets like
-
provided to ensure high quality research outputs. What we offer This PhD will be based in the Health Services Research group at the University of Reading, which is a multi-disciplinary collaborative
-
to test data, which are therefore only useable within a narrow range of scenarios. These limitations result in the requirement of large number of high-cost experiments being conducted to populate the models
-
will lead to natural collaboration opportunities. The primary methods used in this project will be experimental, involving fluid characterisation and high-speed imaging experiments, using Phantom high
-
unique opportunity to leverage world-class expertise and cutting-edge technologies. The outcomes of this PhD will likely include high-impact publications detailing novel correlative pathways and new
-
collection of evidence of impact through communication activities, feature-limited software releases and efforts to inform policy. Candidates for this PhD should have a strong foundation in computer