22 parallel-and-distributed-computing-phd-"Multiple" uni jobs at Cranfield University
Sort by
Refine Your Search
-
We invite applications for a self-funded PhD to explore innovative research in the development of human-centred embodied multi-agent systems that able to compensate and augment human capabilities in
-
planning algorithms to re-route or schedule multiple vehicles to minimise the impact on the efficiency and safety. This PhD position is related to a 2-year project funded by SESAR, involving various partners
-
access to cutting-edge computational tools and interdisciplinary collaboration. This is a self-funded PhD, open to both UK and international students, offering the opportunity to lead an ambitious project
-
This PhD project offers a unique opportunity to delve into the complexities of free-market systems and sustainability through a novel ensemble prediction model. With a focus on addressing
-
-Performance Computing and Future Data Centres AI-Optimized Electronics for Edge and Cloud AI Acceleration – Investigate AI-enhanced data centre electronics, optimizing workload distribution, energy efficiency
-
The research topic is in the area of experimental and computational hypersonic aerodynamics, and will result in the award of a PhD after 4 years. The funding is through a centre for doctoral
-
Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities. How to apply To apply for this PhD
-
Join our diverse and inclusive team to transform the future of aviation as part of the UK’s EPSRC Centre for Doctoral Training in Net Zero Aviation. Offering fully funded, multidisciplinary PhD
-
and their areas of research . Mode of study Students can register for a three-year full-time PhD programme, and may be based at either Cranfield Defence and Security, Shrivenham or in their home country
-
), yaw angle variations to consider realistic crosswind configuration, and inflow turbulence conditions. The aim of this PhD study is to further understand the governing aerodynamic processes in the wake