Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- University of Cambridge
- University of Nottingham
- ; Swansea University
- ; The University of Edinburgh
- Imperial College London
- ; Manchester Metropolitan University
- ; Newcastle University
- ; University of Birmingham
- ; University of Cambridge
- ; University of Leeds
- ; University of Nottingham
- ; University of Warwick
- ; Aston University
- ; British Geological Survey
- ; Brunel University London
- ; Cranfield University
- ; Loughborough University
- ; UWE, Bristol
- ; University of Bradford
- ; University of Bristol
- ; University of Copenhagen
- ; University of East Anglia
- ; University of Essex
- ; University of Exeter
- ; University of Oxford
- ; University of Reading
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; University of York
- Abertay University
- Harper Adams University
- KINGS COLLEGE LONDON
- King's College London
- Newcastle University
- UNIVERSITY OF VIENNA
- University of Liverpool
- University of Oxford
- 31 more »
- « less
-
Field
-
challenges to the electricity transmission and distribution system, as solar power is not dispatchable and therefore its incorporation as a major element of the generation mix requires the accurate prediction
-
. Water mass exchanges at this confluence, which are likely driven by submesoscale currents, play a key role in the distribution of heat, salt, carbon and life sustaining nutrients and oxygen throughout
-
sweat distribution across impairment groups which may inform future clothing design for improved thermoregulation. Additionally, it will explore cooling interventions, using computational modelling
-
, particularly in computer networks, operating systems, computer architecture and distributed systems Excellent programming, system building and measurement skills are required Be familiar with, and ideally worked
-
interactions/contacts. Monitoring and analysing contact pressure, surface contact distribution, and friction and movement patterns for personalised adjustments to equipment (and training). Based in both
-
refine simulation tools and machine learning solutions to advance stroke treatment. This involves improving existing computational models that simulate cerebral blood flow, oxygen distribution, and brain
-
distribution. This process often takes place in large scale driers where the material is heated and broken up mechanically with mixing blades. However, under certain conditions the process can break down as the
-
this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling