Sort by
Refine Your Search
-
Listed
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- University of Nottingham
- ; University of Birmingham
- ; University of Nottingham
- ; University of Southampton
- ; University of Warwick
- ; Newcastle University
- ; University of Oxford
- University of Cambridge
- ; Swansea University
- ; University of Bristol
- University of Sheffield
- ; University of Cambridge
- ; University of Exeter
- ; University of Reading
- ; University of Surrey
- Harper Adams University
- ; Aston University
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Loughborough University
- ; University of East Anglia
- ; University of Leeds
- ; University of Sheffield
- Abertay University
- ; Coventry University Group
- ; Cranfield University
- ; The University of Edinburgh
- ; University of Bradford
- ; University of East London
- ; University of Essex
- ; University of Greenwich
- ; University of Huddersfield
- ; University of Strathclyde
- ; University of Sussex
- ; University of York
- Newcastle University
- UNIVERSITY OF EAST LONDON
- University of East London
- University of Manchester
- 32 more »
- « less
-
Field
-
Supervisory Team: Prof Middleton, Prof Gandhi PhD Supervisor: Matt Middleton Project description: We know of only 20 or so black holes in our galaxy yet predict there should be 10s of millions
-
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
-
—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
-
to the Centre. Warwick Manufacturing Group Three successful offer holders will be under the supervision of Prof. Louis Piper and Dr. Mel Loveridge in the Warwick Manufacturing Group. Prof Piper and Dr Loveridge
-
structures. Accurate detection and quantification are therefore essential for quality assurance and structural integrity assessment. This project, supervised by Dr. Leandro Maio and Prof. Prasad Potluri, will
-
which there exists extensive experience in the areas of machine learning, biostatistics, and medicine: Dr Yanda Meng and Dr Tianjin Huang (Machine Learning), Prof Yalin Zheng (AI in Healthcare), A/Prof
-
the ranking. However, STV method becomes considerably more complex with encrypted ballots. Our goal is to develop an algorithm/protocol to count encrypted ballot using the STV method. Our first point of
-
2025 Award Duration: 4 years Application Closing Date: 10 August 2025 Sponsor: LifeArc Supervisors Prof John Sayer Prof Heather Cordell Dr Juliana Arcila-Galvis Eligibility Criteria Minimum 2:1 Honours
-
, digital twin enabled process development and life cycle assessment will be researched. Primary Supervisor: Prof Xichun Luo Additional Supervisor/s: Dr Matt Boyle Contact Details: For further details please
-
addressed to Prof. Carol Eastwick, carol.eastwick@nottingham.ac.uk Interested in this studentship? Applications with a CV, cover letter and academic transcripts should be sent to hadrian.moran