Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- University of Manchester
- University of Cambridge
- ; The University of Manchester
- ; Swansea University
- ; University of Birmingham
- ; University of Nottingham
- ; University of Warwick
- ; University of Reading
- ; Newcastle University
- ; University of Exeter
- ; University of Leeds
- ; Cranfield University
- ; University of Oxford
- ; Loughborough University
- ; City St George’s, University of London
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Southampton
- ; University of Sussex
- Harper Adams University
- University of Oxford
- University of Sheffield
- ; Aston University
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Cambridge
- ; University of Surrey
- UNIVERSITY OF VIENNA
- ; University of Sheffield
- AALTO UNIVERSITY
- Imperial College London
- University of Newcastle
- ; King's College London
- ; Lancaster University
- ; University of Bradford
- ; University of East Anglia
- ; University of Greenwich
- ; University of Hertfordshire
- University of Liverpool
- ; Bangor University
- ; Coventry University Group
- ; Durham University
- ; Imperial College London
- ; Maastricht University
- ; Midlands Graduate School Doctoral Training Partnership
- ; Royal Northern College of Music
- ; St George's, University of London
- ; Technical University of Denmark
- ; UWE, Bristol
- ; University of Essex
- ; University of Huddersfield
- ; University of Plymouth
- ; University of Portsmouth
- ; University of Stirling
- ; University of Strathclyde
- Abertay University
- Aston University
- Durham University
- Heriot Watt University
- KINGS COLLEGE LONDON
- Nottingham Trent University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of East London
- 56 more »
- « less
-
Field
-
new sustainable femtosecond laser nanomanufacturing process to overcome the challenges of atomic sale precision, feature size and defects rates for quantum dots. In this project, molecular dynamics
-
, cylinders, shells and various prototype two-dimensional and three-dimensional geometries. Such systems have potential applications to sensors, photonics, metamaterials, and displays. Applicants should have
-
data, such as images, sounds, and tactile information. This project is to embed the intelligence into the robotics system. We expect the robot can conduct the inspection autonomously without human
-
of generative models by introducing a training regime inspired by the Thinking, Fast and Slow paradigm. Recently, the use of RL has been shown to significantly improve the performance of LLMs. The goal
-
the interpretability of these models can be enhanced to support clinical decision-making. This project will leverage the complementary expertise of both supervisory teams in EEG signal processing, graph deep learning
-
on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats. The recruiting academic will not be told
-
are investigating the effects of CV format on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats
-
are investigating the effects of CV format on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats
-
of CV format on shortlisting. If you consent to take part in the study, the ARRC team will use information from the shortlisting process to understand the impact of different CV formats. The recruiting
-
. The system will leverage cutting-edge techniques in Natural Language Processing (NLP), Machine Learning (ML), and Multimodal Analysis to conduct adaptive interviews, assess candidate responses, and generate