Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- University of Birmingham
- Loughborough University;
- University of Cambridge
- Loughborough University
- The University of Manchester
- UCL
- University of Birmingham;
- University of East Anglia;
- University of Exeter;
- University of Hull
- University of Sheffield
- University of Warwick
- ;
- Durham University;
- Imperial College London;
- Manchester Metropolitan University
- Newcastle University
- Newcastle University;
- Swansea University
- Swansea University;
- The Open University;
- The University of Edinburgh
- The University of Edinburgh;
- Ulster University
- University of Bradford;
- University of East Anglia
- University of Exeter
- University of Leeds
- University of Newcastle
- University of Nottingham;
- University of Sheffield;
- University of Warwick;
- 24 more »
- « less
-
Field
-
their pandemic potential and classification as bioweapons. This project aims to develop a machine learning-accelerated NMR platform for the discovery of high-affinity inhibitors targeting viral RNAPs. Building
-
devices for medical imaging and reaction monitoring, as well as for the development of sustainable photocatalysts. In this role you will develop machine learning (ML)-accelerated quantum mechanics in
-
Although the development of systems architectures and models has been an established practice for many years, the assessment of the quality of models has relied on expert judgement with no generalised agreement about the qualities that determine whether the model is good or not. The focus of...
-
compressible gas dynamics, heat transfer, free-surface/melt behaviour, and mass transfer driven by phase change, within a GPU-accelerated solver to reduce simulation turnaround times. You will develop and
-
compressible gas dynamics, heat transfer, free-surface/melt behaviour, and mass transfer driven by phase change, within a GPU-accelerated solver to reduce simulation turnaround times. You will develop and
-
the ongoing anxiety of living with unstable cliffs and recurring landslip activity. As climate change accelerates these processes, there is a compelling need to address how communities can live with both
-
accelerators originally designed for artificial intelligence. These accelerators achieve exceptional performance by using low precision arithmetic, which is sufficient for machine learning tasks but much too
-
Deterioration of earthworks slopes (cuttings and embankments), which support transport infrastructure and act as flood defences, is accelerating under increasing weather extremes resulting from
-
students Subject areas Computer sciences Physical & Environmental Sciences Project description The accelerating impacts of climate change—particularly those related to water, such as flooding, coastal
-
hardware/software accelerators and through energy-aware workload placement. The project overall will involve cutting-edge research towards holistic optimisation of energy efficiency in mobile networks by