Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- University of Newcastle
- ; Newcastle University
- ; University of Nottingham
- ; University of Southampton
- ; University of Warwick
- University of Cambridge
- ; City St George’s, University of London
- ; Cranfield University
- ; Manchester Metropolitan University
- ; University of Surrey
- Harper Adams University
- Imperial College London
- University of Manchester
- University of Sheffield
- ; Brunel University London
- ; Edge Hill University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Oxford
- Abertay University
- Brunel University
- Heriot Watt University
- UNIVERSITY OF VIENNA
- ; Coventry University Group
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; King's College London
- ; Lancaster University
- ; St George's, University of London
- ; UWE, Bristol
- ; University of Cambridge
- ; University of Hull
- ; University of Leeds
- ; University of Plymouth
- ; University of Reading
- ; University of Sheffield
- ; University of Stirling
- ; University of Strathclyde
- ; University of Sussex
- Durham University
- Heriot-Watt University;
- KINGS COLLEGE LONDON
- Manchester Metropolitan University;
- Nottingham Trent University
- The University of Manchester
- UNIVERSITY OF MELBOURNE
- University of Birmingham;
- University of Bristol;
- University of Glasgow
- University of Greenwich;
- University of Hertfordshire;
- University of Liverpool
- University of Oxford
- University of Warwick
- 50 more »
- « less
-
Field
-
filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
-
of work throughout the PhD. Project aims and objectives The primary aims of this PhD project are as follows: To investigate how dietary supplementation modulates the gut microbiota and gut permeability
-
using thermographic Non-Destructive Testing (NDT), a critical method for ensuring aircraft safety and reliability. NDT is increasingly vital in the aviation sector, enabling the detection of hidden
-
with inflation). Research training and support grant (RTSG) of £3,000 per year. Funding is available for 4 years. Closes: Open until position filled The overarching aim of this project is to find
-
that allow historical performance phenomena and training practices to be re-animated in the present moment in the form of a ‘live archive’. Project aims and objectives Using Reckless Sleepers’ extensive body
-
, enabling early detection of damage. Renewable Energy: Rapid, optimized design of wind turbine blades and structures for greener energy. Microstructures: Accurate, efficient analysis of devices like MEMS
-
engineering, clinical research, and AI-driven health monitoring. This project will explore large-scale maternal datasets—combining clinical cardiovascular assessments with wearable sensor data—to detect early
-
studying across a number of UK Universities. The objective of the research is to understand the effects of structural warpage due to heating on the aerodynamic performance of supersonic intakes and then
-
, determining optimal ways for groups of buildings to share resources and benefits. You will investigate and quantify trade-offs between individual objectives and collective outcomes, focusing on scalability
-
, offering a consistent, objective, and transparent framework for evaluating circularity performance. Most crucially, it facilitates the identification and evaluation of resource recovery opportunities