44 parallel-computing-numerical-methods-"Multiple" PhD positions at University of Nottingham
Sort by
Refine Your Search
-
University of Nottingham – School of Chemistry PhD roles 2026: Multiple projects The School of Chemistry at the University of Nottingham is recruiting ambitious, curious and highly motivated
-
Fully-funded 4-year PhD Studentship (UK Home fee status): Numerical simulation of boiling flows for high heat flux fusion components Aim and Objectives This project aims to develop a high-fidelity
-
difficult to deploy outside large data centres. This PhD project focuses on developing resource-efficient computer vision methods that maintain strong performance while dramatically reducing computation
-
Department: School of Computer Science Details of Studentship: Fully Funded PhD Studentships Applications are invited from Home and International students for a number of fully-funded PhD
-
development (such as 3D modelling, VR, animation or interactive design) with inclusive design and accessibility. This project bridges computer science and social care to deliver a digital health training tool
-
one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
-
one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
-
substantial background in fluid mechanics. Essential skills: Strong knowledge of numerical methods Ability to work effectively in a team Desirable skills / experience: Experience of applying CFD to a complex
-
facilities. A popular method of doing so is to create vast battery storage facilities which require incredible sums of upfront capital and rely on lithium, one of (if not) the most intensively mined resources
-
necessarily require formal education in geotechnics. Applicants with a background in mechanical/materials engineering or alternatively mathematics/computer science with an interest in numerical modelling