Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Cranfield University
- University of Nottingham
- University of Manchester
- ; Swansea University
- ; University of Birmingham
- ; University of Southampton
- ; The University of Manchester
- ; Cranfield University
- ; Newcastle University
- ; University of Exeter
- ; University of Surrey
- UNIVERSITY OF VIENNA
- University of Cambridge
- ; Loughborough University
- ; The University of Edinburgh
- ; University of Nottingham
- ; University of Warwick
- Newcastle University
- University of Sheffield
- ; University of Cambridge
- The University of Manchester
- University of Exeter
- ; City St George’s, University of London
- ; King's College London
- ; University of Bristol
- ; University of Oxford
- Abertay University
- Harper Adams University
- University of Bristol
- University of Warwick
- ; Brunel University London
- ; Imperial College London
- ; Manchester Metropolitan University
- ; UWE, Bristol
- ; University of East Anglia
- ; University of Leeds
- ; University of Plymouth
- ; University of Reading
- ; University of Sheffield
- ; Aston University
- ; Durham University
- ; Lancaster University
- ; St George's, University of London
- ; The Open University
- ; UCL
- ; University of East London
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Stirling
- Coventry University Group
- King's College London
- Oxford Brookes University
- The University of Edinburgh
- The University of Manchester;
- UCL
- UNIVERSITY OF EAST LONDON
- University of Birmingham
- University of Greenwich
- University of Hertfordshire
- University of Liverpool
- University of Nottingham;
- 52 more »
- « less
-
Field
-
Boreal forest recovery after clear-cut: We are looking for a highly motivated PhD student to collect data on and model hydro(geo)logy and greenhouse gas exchanges of boreal forests after
-
The funding provider: Health Data Research UK Subject areas: Wider Data Science Field, Maths and Computer Science Project start dates: 1st October 2025 ** (Please see the note below regarding
-
This self-funded PhD opportunity focuses on assured multi-domain positioning, navigation, and timing (PNT), integrating data from space-based, terrestrial and platform-based sources of navigation
-
population-based studies. Using data from 11 million vessel segments from over 200,000 CFPs, we have shown that retinal vasculometry can predict cardiovascular disease as well as established risk scores and
-
Grand Tours, one-day races (monuments and semi-classics), and select World Tour 1-week stage races. The data sources will include video and previous race commentary to ‘code’ key events in races that help
-
the PhD student in high-performance computing, computer programming, applied mathematics, fluid mechanics, mathematical modelling and data analysis for large datasets -of the order of 100 Terabytes
-
, the supervision team have obtained data access to indoor environment sensor data at national scale from a leading industrial collaborator. To pair with this big dataset, outdoor environment data at MetOffice can be
-
myriad of new techniques and much sought-after skills demanded by industry, including the following: Design of experiments, data harvesting/analysis and interpretation of results to derive insight
-
of this project, please contact Prof. Tony McNally (T.McNally@warwick.ac.uk ) directly for further information. Essential and Desirable Criteria: 1 or 2.1 degree in Materials Science & Engineering, Chemical
-
profiles. A successful implementation and completion of this PhD project will provide vital information for making a step change in our hydrogen economy, opening the door for making a lasting impact