Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- ;
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- University of Manchester
- ; Newcastle University
- ; The University of Edinburgh
- ; Cranfield University
- ; University of Birmingham
- University of Newcastle
- ; University of Southampton
- KINGS COLLEGE LONDON
- University of Sheffield
- ; City St George’s, University of London
- ; Lancaster University
- ; Loughborough University
- ; University of Exeter
- ; University of Nottingham
- ; University of Surrey
- AALTO UNIVERSITY
- Imperial College London
- Newcastle University
- The University of Edinburgh
- The University of Manchester
- University of Cambridge
- ; Aston University
- ; Edge Hill University
- ; University of Cambridge
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Oxford
- ; University of Reading
- ; University of Sheffield
- ; University of Strathclyde
- Abertay University
- Coventry University Group;
- Lancaster University
- Lancaster University;
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Bristol
- University of Cambridge;
- University of Exeter
- University of Greenwich
- University of Strathclyde;
- University of Surrey
- University of Warwick;
- 38 more »
- « less
-
Field
-
in the simulations with the goal of minimising manufacturing variability and defect generation, i.e. robust manufacturing. The outputs of the work will directly influence the development of high
-
is an AI-based technique that supports imitation of the preferred system behaviour by using its behavioural history. It helps in the inference of the reward values by taking the observed history
-
. The project offers a rare mix of theoretical development, simulation-based research, and experimental validation, supported by advanced testbeds and datasets. Students will also be encouraged to present results
-
simulations and finite element analysis, with high-heat flux electron beam experiments. The research will simulate and replicate steady, cyclic, and transient thermal loads to better understand PFM behaviour
-
to develop an SDT that simulates real-time system operation in a dynamic virtual environment. Online Implementation: Deploying the SDT on an evolving online platform, continuously updated with new data and
-
neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural
-
. Our preliminary work has shown that such an adapter can enable a consistent dose to be extruded and spread onto simulated paediatric lesions, where one FTU now covers an area of just two fingers. We
-
methodology to simulate representative offshore operating conditions using a purpose-built prototype system, enabling experimental validation under combined electrical, thermal, mechanical, and environmental
-
excellent understanding in power system dynamics, power electronics and control. Experience in working with power systems dynamic simulation will be helpful, but not necessary to apply for the position. How
-
leveraging collaborations across various Swansea University facilities to use DIC in both biomechanics labs and simulated clinical environments. The Biomedical Engineering Simulation and Testing (BEST ) Lab