Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- University of Nottingham
- Cranfield University
- University of Manchester
- ; The University of Manchester
- ; Swansea University
- ; University of Nottingham
- ; University of Southampton
- ; University of Birmingham
- ; University of Surrey
- ; The University of Edinburgh
- ; Newcastle University
- ; University of Exeter
- ; Loughborough University
- ; University of Bristol
- ; University of Warwick
- UNIVERSITY OF VIENNA
- ; University of Oxford
- ; University of Reading
- ; Cranfield University
- Harper Adams University
- ; Edge Hill University
- ; University of Bradford
- ; University of Sheffield
- ; University of Strathclyde
- ; University of Sussex
- Abertay University
- University of Sheffield
- ; City St George’s, University of London
- ; Imperial College London
- ; King's College London
- ; University of Hertfordshire
- ; University of Plymouth
- University of Cambridge
- University of Warwick
- ; Brunel University London
- ; Coventry University Group
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Lancaster University
- ; Manchester Metropolitan University
- ; Royal Northern College of Music
- ; UWE, Bristol
- ; University of Cambridge
- ; University of East Anglia
- ; University of Hull
- ; University of Leeds
- ; University of Stirling
- Newcastle University
- University of Liverpool
- University of Newcastle
- 41 more »
- « less
-
Field
-
functioning [1]. Building on these insights, you will compile and standardise datasets of collective movement and collect new data from multiple species of freshwater fish. From these data, you will identify
-
the detection of real versus AI videos. The focus has been from single disciplines (e.g., Masood et al., 2022), and typically technical in nature. By drawing on multiple modalities within video (i.e., visual
-
paramount importance to multiple industrial fields. The presence of these oxide films alters the charge carrying characteristics when electro-magnetic fields are applied and can lead to localised electrical
-
Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based
-
are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The successful candidate will be based at the Rolls-Royce
-
Project Background: Why some people with multiple sclerosis (MS) experience faster changes in brain structures (neurodegeneration) than others? What genetic associations with brain regional
-
powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
-
magnification and error accumulation by closing the feedback loop of conventional 3DP systems. The candidate will test the developed technologies across multiple application scenarios, including large-scale
-
learning (ML) for high-fidelity data ‘stitching’. The integration of data from multiple analytical platforms is critical for advancing the understanding of complex biological and chemical systems. This work
-
potential later start dates.) Supervisors: Professor Gwyneth Davies, Professor Rich Fry (Swansea University) and Professor Jenni Quint (Imperial College, London) Aligned programme of study: PhD in Population