Sort by
Refine Your Search
-
Listed
-
Employer
- University of Nottingham
- ;
- Cranfield University
- ; The University of Manchester
- ; University of Nottingham
- ; University of Surrey
- ; Swansea University
- ; University of Warwick
- UNIVERSITY OF VIENNA
- ; University of Exeter
- ; University of Reading
- ; University of Sussex
- University of Sheffield
- ; Loughborough University
- ; University of Birmingham
- ; University of Cambridge
- ; University of Oxford
- University of Cambridge
- ; Aston University
- ; Brunel University London
- ; City St George’s, University of London
- ; Cranfield University
- ; Imperial College London
- ; King's College London
- ; Manchester Metropolitan University
- ; Newcastle University
- ; St George's, University of London
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Copenhagen
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Hull
- ; University of Leeds
- ; University of Sheffield
- Harper Adams University
- Newcastle University
- 27 more »
- « less
-
Field
-
the understanding of offshore turbulence in spatially varying flows. The focus will be on open channel flow dynamics and controlled experimental studies will be designed and conducted to generate and characterise
-
randomised controlled trial (RCT) using a waiting list design. Fifty school pupils aged approximately 11 to 18 with non-anorexic eating disorders will be recruited from schools in the Midlands. Participants
-
respond over time (e.g. changing shape), controlled by the arrangement of differential materials within them. The goal of this project will be to develop responsive 4D-printed biomaterial devices for drug
-
-printed functional devices interact with their environment, responding to stimuli (temperature, light, etc.), and “4D-printed” devices respond over time (e.g. changing shape), controlled by the arrangement
-
energy; thereby minimising farming’s environmental impact. AI machine learning offers a new expedient method of developing control systems for tasks that would be difficult to manage using classical
-
-periodic structures, we can precisely control the interaction of radiation with matter, potentially achieving unprecedented timing resolution (sub-70ps) and significantly enhancing signal detection. This PhD
-
and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that continues to drive
-
region and identify mutations. Develop and optimise bioinformatics tools to detect mutations using positive controls. Apply polygenic risk scores (PRS) to genome-wide SNP data to identify individuals
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
) to engineers and automated systems •Validate the system’s resilience, scalability, and practical relevance using real-world and representative datasets, with evaluation of technical performance and potential
-
research. The network's goal is to advance infection control protocols, improve implant safety and reduce healthcare costs associated with IAIs. The role holder will develop and characterise novel