Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of East Anglia
- University of East Anglia;
- University of Nottingham
- Cranfield University
- ; University of Southampton
- Loughborough University
- Newcastle University
- The University of Manchester;
- University of Birmingham
- University of Newcastle
- ; Loughborough University
- ; The University of Manchester
- Abertay University
- Swansea University;
- The University of Edinburgh
- University of Birmingham;
- University of Cambridge;
- University of Essex
- University of Leeds
- University of Strathclyde;
- 10 more »
- « less
-
Field
-
the pathways and fate of the Atlantic Water that enters the Arctic Ocean through virtual particle tracking and heat budget analysis. Study how sea ice losses influence ocean-atmosphere-ice exchanges
-
of energy geostructures with other underground structures. GENIUS will address all three challenges by developing advanced analysis and design tools for energy geostructures (WP-1) and by advancing practical
-
to enhance the UK’s energy system resilience through a whole-system analysis approach. Building on the proven WeSIM model, RENEW will upgrade its capabilities to incorporate electrified district heating and
-
fuels (hydrogen, methanol, ammonia), simulation tools for marine engines and/or fires due to fuel leakages, data analysis methods and their applications for ships, sufficient understanding of appropriate
-
Experience implementing mixed-integer, conic or nonlinear programming and modelling frameworks (JuMP, Pyomo, Yalmip, GAMS, etc) Experience with unbalanced distribution system analysis tools (e.g., OpenDSS
-
profound interest in inorganic chemistry, in both experimental and modelling applications. We are looking for candidates who are also interested in the analytical and numerical aspects of the work to support
-
We are looking for a highly motivated candidate to pursue a PhD programme titled "CFD-informed finite element analysis for thermal control in wire-arc directed energy deposition." This research
-
nonlinear effects. These nonlinear effects will be generalised via correction terms discovered by machine learning from a large numerical simulated dataset. This dataset also allows for extending the theory
-
operation costs significantly. Besides, there is an opportunity to explore the commercialisation paths of the developed smart sensor prototype. You will gain from the experience in numerous ways, whether it
-
deploy these technologies in the industry context without the need for big datasets. You will gain from the experience in numerous ways, whether it be transferable skills in the technical area of