Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- University of Nottingham
- ; Swansea University
- ; University of Birmingham
- University of Cambridge
- ; University of Warwick
- University of Sheffield
- ; University of Nottingham
- ; University of Southampton
- ; Newcastle University
- ; Cranfield University
- ; University of Bristol
- ; University of Exeter
- ; University of Oxford
- ; University of Surrey
- ; City St George’s, University of London
- ; Loughborough University
- ; University of Sheffield
- ; The University of Edinburgh
- ; University of Leeds
- Imperial College London
- ; University of Sussex
- Harper Adams University
- University of Newcastle
- ; Aston University
- ; Brunel University London
- ; Coventry University Group
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Cambridge
- ; University of East Anglia
- ; University of Greenwich
- ; University of Plymouth
- ; University of Reading
- ; University of Strathclyde
- AALTO UNIVERSITY
- Abertay University
- University of Oxford
- ; Durham University
- ; Imperial College London
- ; Manchester Metropolitan University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; Technical University of Denmark
- ; University of Bradford
- ; University of Portsmouth
- Aston University
- Heriot Watt University
- University of Liverpool
- 40 more »
- « less
-
Field
-
-material capability with a suitable closure model; (2) improved strategy for interface tracking/capturing; (3) very high-speed scenarios with use of nonlinear Riemann-solvers. If time allows exploratory 3D
-
emissions and are being implemented to provide a carbon efficiency assessment of farm enterprises. The contribution and management of ensiling at the farm scale to these models has not been fully explored
-
Current modelling and simulations require either generic assumptions to be made for fluid dynamic based modelling leading to inaccuracies between modelled and experimental data or, intense
-
to modulate pathological cell behaviour in vitro, with potential for progression to in vivo testing in a rodent model of glaucoma. Candidate Profile Applicants should hold (or expect to obtain) a 1st or 2:1
-
dynamics and tissue morphogenesis during embryo development using cellular, molecular and mechanical approaches. Cell movements underlie tissue patterns and shapes. Using chick embryos as the model system
-
including predictive modelling, computer vision and epidemiology. The student will join an established team of investigators, including statisticians, epidemiologists, image scientists, and clinicians
-
Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace, mechanical
-
fine-scale, fully distributed hydrological modelling, with the ultimate goal of optimising NFM strategies in moorland, to improve flood resilience for rural, upland communities. The studentship will be
-
/emissions modelling preferred but not required Creative problem-solving skills and ability to work independently *Candidates with a PhD in other disciplines may be eligible if they can demonstrate exceptional
-
), the third leading cause of cancer deaths, often arising from fatty liver disease. While IGRT shows promise in treating HCC, its use is limited by radiation-induced liver fibrosis (RILF). Using a mouse model