Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- ;
- University of Nottingham
- ; The University of Manchester
- ; Swansea University
- ; University of Nottingham
- University of Manchester
- ; University of Birmingham
- AALTO UNIVERSITY
- Harper Adams University
- University of Newcastle
- ; University of Southampton
- University of Sheffield
- ; Brunel University London
- ; Cranfield University
- ; Loughborough University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Leeds
- Imperial College London
- ; Aston University
- ; Newcastle University
- ; University of Oxford
- ; University of Plymouth
- ; University of Reading
- ; University of Surrey
- ; University of Warwick
- Abertay University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of Cambridge
- University of Leicester
- 21 more »
- « less
-
Field
-
in the USA. The main project for the student will be the computation of the properties of hadrons using lattice QCD and high performance computers. The PhD student will further investigate the use
-
the name behind sustainable, high-performance ingredients and technologies in some of the world’s most successful brands: creating, making and selling speciality chemicals that are relied on by
-
processing conditions (e.g. aging and thermo-mechanical processing route) to optimise corrosion performance of Constellium’s high strength alloys. This project is an exciting opportunity to work in close
-
fuel, but its high reactivity makes it vulnerable to pre-ignition. The presence of lubricating oil droplets can worsen this risk by evaporating, altering chemical pathways, and producing nanoscale soot
-
environment. Accurately predicting flow and heat transfer in these systems is critical for safety, performance, and design assessments, yet direct high-fidelity simulations, such as Large Eddy Simulation (LES
-
Tandem Industry-Academy funded project https://www.vaikuttavuussaatio.fi/en/funded-projects/tandem-industry-academia-tia-seed-2024/ . developing next-generation optical computing technologies for ultra
-
on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
-
Research Group at the Faculty of Engineering which conducts cutting edge research into experimental and computational heat and mass transfer, multiphase flows, thermal management, refrigeration, energy
-
be used effectively as a performance digital twin to generate high-quality engine performance models and produce required training data for the proposed project. This could be a good starting point for
-
Applications are invited for a Research Assistant to join the Integrated Clinical-Computational Affective Research Unit (ICARUS). The unit is led by Dr Liam Mason (Associate Professor of Clinical