Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- University of Manchester
- ; Swansea University
- University of Cambridge
- ; The University of Manchester
- ; University of Birmingham
- University of Sheffield
- ; University of Exeter
- ; University of Surrey
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Nottingham
- ; University of Southampton
- ; Cranfield University
- ; University of Oxford
- Harper Adams University
- University of Oxford
- ; City St George’s, University of London
- ; Loughborough University
- ; University of Leeds
- ; University of Sheffield
- ; University of Warwick
- AALTO UNIVERSITY
- Newcastle University
- University of Newcastle
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Bristol
- Imperial College London
- The University of Manchester
- ; Brunel University London
- ; King's College London
- ; University of Cambridge
- ; University of Strathclyde
- Abertay University
- University of Bristol
- University of Warwick
- ; Imperial College London
- ; Lancaster University
- ; University of East Anglia
- ; University of Reading
- ; University of Sussex
- Aston University
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- University of Birmingham
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Manchester Metropolitan University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Huddersfield
- ; University of Plymouth
- ; University of Stirling
- Durham University
- Heriot Watt University
- King's College London
- Loughborough University
- Manchester Metropolitan University
- Nature Careers
- Nottingham Trent University
- Oxford Brookes University
- Swansea University
- UCL
- UNIVERSITY OF MELBOURNE
- University of Cambridge;
- University of Glasgow
- University of Greenwich
- University of Hertfordshire
- University of Liverpool
- University of London
- University of Nottingham;
- University of Plymouth
- 67 more »
- « less
-
Field
-
to symmetry breaks in the patterning process. A hybrid modelling approach integrating the dynamics of a core network while utilising a virtual template from experiments for cellular growth and division will be
-
interdisciplinary research environment is highly desirable but not necessary as training will be provided. Experience of computer modelling is desirable but not essential as full training will be provided in
-
dioxide (SO2) are commonly measured. Each pollutant is produced and destroyed by different processes, and the levels of the various pollutants are correlated with each other, for example, and increase in
-
-DED process. Finite element analysis (FEA) is widely used to predict the temperature field during the WA-DED process. Traditional FEA models rely heavily on empirical heat source definitions, such as
-
strategy of simulating the CO2 capture process in a novel packed bed for process intensification. A combined computational, experimental and process modelling technique will be employed. Funding Notes 1st
-
, antennas, and electromagnetic metasurfaces. The computer-aided simulation of electromagnetic fields is critical in the design of most computing and communications devices, such as high-speed interconnects in
-
of the mechanisms that lead to defect formation in DED-LB, and improve process control measures to either prevent or mitigate the defects. The additionality of external controls over the laser-matter interactions
-
for downstream tasks. In this project, you will develop novel unsupervised machine learning methods to analyse cardiovascular images, primarily focusing on MRI. In your research you will train models to learn a
-
practices for data processing and integration into hydraulic modelling and risk assessment. This project will create a novel methodology for analysing the datasets to achieve meaningful improvements in flood
-
: Computational Modelling: Employing simulation tools (e.g., GEANT4, light transport) to explore novel metamaterial designs, predict performance, and optimise key parameters such as timing resolution, light yield