Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of East Anglia
- Cranfield University
- University of Birmingham
- University of Cambridge;
- University of Exeter;
- Imperial College London;
- Loughborough University
- The University of Manchester
- University of East Anglia;
- Edinburgh Napier University;
- University of Birmingham;
- University of Nottingham
- University of Sheffield
- KINGS COLLEGE LONDON
- Newcastle University
- The Institute of Cancer Research
- The University of Manchester;
- University of Newcastle
- University of Nottingham;
- University of Oxford
- University of Plymouth;
- ;
- ; Loughborough University
- ; The University of Edinburgh
- ; The University of Manchester
- ; University of Exeter
- AALTO UNIVERSITY
- Coventry University Group;
- Durham University;
- Edinburgh Napier University
- Imperial College London
- King's College London;
- Loughborough University;
- Newcastle University;
- The University of Edinburgh
- UCL
- UNIVERSITY OF VIENNA
- Ulster University
- University of Cambridge
- University of Exeter
- University of Glasgow
- University of Greenwich;
- University of Leeds
- University of Liverpool
- University of Liverpool;
- University of Oxford;
- University of Plymouth
- University of Sheffield;
- 38 more »
- « less
-
Field
-
and Innovation rates Payment of university tuition fees The budget for project costs is £9,000 which can be used for computer, lab, and fieldwork costs necessary for you to conduct your research
-
for computer, lab, and fieldwork costs necessary for you to conduct your research. There is also a conference budget of £2,000 and individual Training Budget of £1,000 for specialist training Project Aims and
-
overuse injuries. Wearable sensors to quantify of the impact and benefit of sleep on the recovery, performance and overall wellbeing of athletes. Using big data and machine learning methods to identify
-
understood. However, the increasing availability of high-resolution satellite imagery now enables the creation of detailed large-scale, multi-temporal inventories, offering new opportunities to investigate
-
(e.g. neural ODEs and SDEs), identifiability and interpretability, large language and sequence models, and multimodal data integration. This position will be based at the world-leading CRUK Cambridge
-
and loss of migration across western Europe. Benefitting from the strong expertise of the supervisory team in stork ecology, movement analysis and spatial models, the project will leverage large
-
Environment - Wiley Online Library Additive Manufacturing: A Comprehensive Review Big data, machine learning, and digital twin assisted additive manufacturing: A review - ScienceDirect Full article: Achieving
-
intensity of these changes. This PhD project will ultimately enable aircraft to reroute safely and efficiently in real time as weather evolves. By merging scientific machine learning, large-scale data
-
wind farms in the UK and neighbouring countries is expected to triple in less than five years. Newer wind farms are also deploying very large turbines of 14 MW or more, meaning that wake effects between
-
river channels, altering their topography, destabilising banks, and changing how water and sediment move through large rivers. While these impacts are becoming clearer, what remains poorly understood is