Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- ; Loughborough University
- ; The University of Manchester
- University of Nottingham
- Cranfield University
- ; University of Warwick
- ; Swansea University
- ; University of Nottingham
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- University of Cambridge
- ; Cranfield University
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Birmingham
- ; University of Bristol
- ; University of Cambridge
- ; University of Leeds
- ; University of Plymouth
- ; University of Reading
- ; University of Strathclyde
- ; University of Sussex
- Abertay University
- Newcastle University
- University of Newcastle
- University of Sheffield
- 18 more »
- « less
-
Field
-
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
-
million in losses each year, with landslides during earthquakes leading to over NZ$1 billion in damage for a single event. While landslide susceptibility modelling is an essential tool in risk management
-
of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the temperature field
-
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
-
-dependent source depletion. Reducing uncertainty in groundwater risk assessments through refined numerical methods. Applying the improved model to real-world groundwater contamination case studies. Career
-
. The student through participation in team meetings and training with the team will deploy a numerical model (4SAIL) to study the combined effects of the vegetation-soil system temperature and canopy reflectance
-
; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 10 days ago
: Analyse how curation and drying impact mechanical properties and hygrothermal performance. Develop a Predictive Model: Create a computational model linking operational variables and material properties
-
advantage of supercomputing resources at facilities based in Swansea, in the United Kingdom, and overseas. The student will perform the first extended, high precision numerical study of such models, computing