Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Nottingham
- ; The University of Manchester
- Cranfield University
- ; Loughborough University
- ; University of Surrey
- ; University of Warwick
- ; University of Nottingham
- ; University of Sheffield
- ; University of Southampton
- University of Cambridge
- ; Cranfield University
- ; Swansea University
- ; University of East Anglia
- ; University of Leeds
- ; University of Oxford
- ; University of Sussex
- Abertay University
- ; Brunel University London
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Manchester Metropolitan University
- ; University of Birmingham
- ; University of Bristol
- ; University of Plymouth
- ; University of Reading
- ; University of Strathclyde
- Loughborough University
- University of Newcastle
- University of Sheffield
- 20 more »
- « less
-
Field
-
Numerical simulations of Lattice QCD DoS Dr. Craig McNeile (craig.mcneile@plymouth.ac.uk , tel.: +441752586332) 2nd Supervisor Dr. Vincent Drach ( vincent.drach@plymouth.ac.uk , tel: +441752586335
-
an Ahmed body will be used as the baseline. Numerical studies will be performed using commercial CFD software. A correlation between experimental and numerical data will be determined. This project
-
framework, and numerical implementation will allow the construction of a faithful ‘digital-twin’ of these alloy-oxide systems for wide applicability in surface science applications; though initially focussing
-
Fast Reactors (LFR) and Molten-Salt Reactors (MSR). Despite conceptual simplicity, NCLs are highly susceptible to instabilities, producing a wide and complex range of flow behaviours. Current numerical
-
Department: Earth and Environmental Sciences Title: Quantifying Raindrop-Freezing Fragmentation Using a Cloud Chamber and Numerical Modelling Application deadline: All year round Research theme
-
analysts to develop numerical and laboratory experimental approaches to understand the impact of Arctic sea-ice thickening geoengineering approaches on nutrient and alkalinity cycling. Mode of study Full
-
. This project is intended to perform numerical studies and develop a methodology for the numerical analysis aimed at the effective damping of resonance regimes in bladed disks of gas-turbine engines using
-
will also include evaluating and validating existing numerical models, ensuring their reliability in predicting real-world conditions. This project is supported by brand-new laboratory facilities
-
. Experience in quantitative research in biology is essential. Desirable criteria include experience in standard laboratory techniques (including microscopy) and strong numerical skills. Month when Interviews
-
shift in the world of hardware design. On the one hand, the increasing complexity of deep-learning models demands computers faster and more powerful than ever before. On the other hand, the numerical