Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- ;
- University of Manchester
- ; Swansea University
- University of Nottingham
- AALTO UNIVERSITY
- ; The University of Edinburgh
- The University of Manchester
- University of Cambridge
- University of Sheffield
- ; The University of Manchester
- Newcastle University
- University of Cambridge;
- University of Exeter;
- University of Newcastle
- ; City St George’s, University of London
- ; Loughborough University
- ; Newcastle University
- ; University of Birmingham
- ; University of Exeter
- ; University of Southampton
- Imperial College London
- KINGS COLLEGE LONDON
- The University of Edinburgh
- UNIVERSITY OF VIENNA
- University of East Anglia;
- University of Surrey
- ; Aston University
- ; University of Cambridge
- ; University of Nottingham
- ; University of Strathclyde
- Abertay University
- Brunel University London
- Coventry University Group;
- Lancaster University;
- Swansea University;
- UWE, Bristol
- University of Birmingham
- University of Birmingham;
- University of Bristol
- University of Glasgow
- University of Greenwich
- University of Hertfordshire
- University of Strathclyde;
- University of Warwick;
- 35 more »
- « less
-
Field
-
similar languages) Experience with large-scale neural network simulations Experience with analysing large-scale neural recordings Familiarity with neuroanatomy and neurophysiology Knowledge of dynamical
-
experiment, theory, and numerical simulations in the department of physics at the University of Exeter. The research question is how to effectively shape electromagnetic radiation when the wavelength reaches
-
landscapes, including our partners at the UK CEH. Eligible candidates must have a background in simulation modelling and a proven ability to communicate results. They should have obtained, or will soon obtain
-
physics all the way to numerical simulation algorithms? Then apply now to join our team of researchers in the Quantum Information and Quantum Many-Body Physics research group. Your personal sphere
-
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
-
failure before components are built? We invite applications for a fully funded PhD project to develop microstructure-aware simulation models for fatigue and damage prediction in turbine wheels. Working in
-
Modern numerical simulation of spray break-up for gas turbine atomisation applications relies heavily upon the use of primary atomisation models, which predict drop size and position based upon
-
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
-
-on experience with real-world SCADA data, industry collaboration with RES Group, and training in high-fidelity simulation environments (OpenFAST, Digital Twin technology). This opportunity is ideal for those
-
the University or Research Centre where the research will be undertaken. Click here for a copy of the job description. Application Information The three documents needed for upload are a copy of your current