Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ; The University of Manchester
- ; University of Southampton
- University of Nottingham
- ;
- ; Loughborough University
- Abertay University
- Cranfield University
- ; Aston University
- ; Swansea University
- ; University of Exeter
- ; University of Sheffield
- ; University of Surrey
- Imperial College London
- Newcastle University
- University of Birmingham
- University of Newcastle
- University of Sheffield
- University of Strathclyde;
- 8 more »
- « less
-
Field
-
numerical calculation skills and mathematical modelling skills Strong skills in solid state physics and quantum mechanics Experience in theoretical modelling and experimental investigation of optical devices
-
research identifies an active and growing research field, with numerous advancements in the past 18 months. A focus on generative AI agents has progressed capabilities towards exploiting zero-day
-
numerous accolades, including three Oscars, twelve Grammys, six Emmys, and twelve BAFTAs. Supervisor: Prof Enzo De Sena Entry requirements Open to any UK or international candidates. Starting in October 2025
-
, ultimately optimising the deposition process. Additive manufacturing (AM) is a rapidly advancing technology, driving numerous innovations and finding diverse applications across industries such as aerospace
-
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
-
in device behaviour will be explored to minimize false positives Scalability and Real-world Deployment: This research project will address the scalability of the proposed detection system to handle a
-
explore or optimise the flexible structures and manufacturing process of Litz wires. This studentship offers the opportunity for the PhD student to lead the development of innovative simulation tools
-
) or Direct Numerical Simulation will remain computationally prohibitive for at least several decades. Instead, porous media approximations provide a practical alternative by treating the pebble bed as an
-
to the development of multiscale computational models for simulating crack propagation and establishing reliable methods to predict the residual strength of composite structures. The simulations, performed in Ansys
-
and heat transfer in geothermal systems under high-pressure and high-temperature conditions relevant to AGS. • Developing high-fidelity direct numerical simulation (DNS) models to map