-
of parallel computing (GPUs) to speed solution within the optimisation process. Funding Notes 1st or 2:1 degree in Engineering, Materials Science, Physics, Chemistry, Applied Mathematics, or other Relevant
-
, high-speed parallel processing of powdered feedstock benefits from precise control over material microstructure and offers improved part functionality in a wide range of applications. Students will have
-
Energy-efficient collective decisions in robot swarms School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof James Marshall Application Deadline: 27 February 2025
-
Computational Astrochemistry/Algorithm development for Quantum Dynamics Calculations School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
-
Research and Innovation Network. There will be the opportunity to develop models of these initiation processes in parallel with the experimental investigation. Funding Notes 1st or 2:1 degree in Engineering