Sort by
Refine Your Search
-
Listed
-
Employer
- University of Oxford
- KINGS COLLEGE LONDON
- University of Oxford;
- Aston University
- Durham University
- UNIVERSITY OF VIENNA
- University of Bristol
- Aston University;
- Babraham Institute
- Cardiff University
- City University London
- Heriot Watt University
- King's College London
- Queen Mary University of London;
- University of Cambridge;
- University of Exeter
- University of Exeter;
- University of Liverpool;
- University of London
- jobs.ac.uk
- 10 more »
- « less
-
Field
-
finite element software (Abaqus) via user subroutines and conduct numerical case studies to demonstrate the model capabilities. You will have the opportunity to be involved in undergraduate and graduate
-
(Abaqus) via user subroutines and conduct numerical case studies to demonstrate the model capabilities. You will have the opportunity to be involved in undergraduate and graduate supervision and teaching
-
. Specifically, the successful applicant will: Collect and process AI and numerical weather prediction (NWP) model data; Analyse and refine the current blending methodology within IMPROVER; Implement and evaluate
-
compared to numerical data (UU), and field measurements, obtained from Orsted. The goal of the team is to identify and model the entrainment processes which ‘replenish’ the kinetic energy deficits generated
-
partial drainage effects. You will contribute to the numerical modelling part of the project, which will benefit from novel element level and centrifuge testing experimental results. You will set up and
-
duties of the post include: Conduct in-depth simulations and analysis to model and understand the performance of the Diamond-II accelerators for both single and multi-particle effects; develop and apply
-
. The project will involve theoretical or modelling work relating to high energy astrophysics and black hole accretion-powered outflows, using hydrodynamics codes, theoretical calculations and/or the Monte Carlo
-
possibly turbulent response of a rotating subterranean ocean in an icy moon when subject to a variety of tidal forcings. The methodology will be direct numerical simulations of the governing Navier-Stokes
-
the commercialisation of all-solid-state batteries. Of particular interest is the development of electro-chemo-mechanical phase field models to predict void evolution and dendrite growth (see, e.g., doi.org/10.1016
-
community level cooling demand. The Research Assistant will support the integration of cooling demand data with numerical models of ground-source heat pump-based energy systems. The successful candidate will