43 distributed-algorithms-"Prof" positions at University of Nottingham in United Kingdom
Sort by
Refine Your Search
-
-holomorphic Hilbert Modular Forms”. The central aim of the project is to develop explicit algorithms for computing with non-holomorphic Hilbert Modular Forms and using these algorithms together with theoretical
-
, improving efficacy of the interventions and enhancing local evidence. You will join the PHIRST-LIGHT team, led by Prof Elizabeth Orton (University of Nottingham) and will support the design, collection and
-
institutions, and leading industry partners. The successful candidate will contribute to the delivery of high-impact research projects involving AI algorithm evaluation and image data analysis. You will play a
-
and Delivery of Healthcare’ (PI Prof M Bhutta, Brighton and Sussex Medical School, University of Sussex). The vision is to create a world-leading hub to support the NHS to become a low carbon provider
-
, and occasionally attend other meetings. PGTA work is not evenly distributed across the 6 months duration of the fixed-term contract and PGTAs are expected to work flexibly to accommodate the delivery
-
detailed CV and a cover letter, together with the names and addresses of two referees, should be sent directly to Prof. Tanvir Hussain (tanvir.hussain@nottingham.ac.uk ). View All Vacancies
-
to Prof Sarah Cook, Head of School, School of Economics, email: Sarah.Cook@nottingham.edu.cn. Please note that applications sent directly to this address will not be accepted. Applications must be
-
to Profs. Darren Walsh, Lee Johnson, and Graham Newton. The lithium-sulfur battery is very promising for our future energy-storage requirements, as it has the potential to exceed the specific energy of
-
The position is open for both UK home and international candidates. PhD Start date: 1 October 2025 Application deadline: 10 June 2025 For further information please email Prof. Michele Degano: michele.degano
-
Applications are sought for a fully-funded 42 month PhD studentship to work with Dr Rachel Nicks and Prof Stephen Coombes on the project: White Matter Computation: Utilising axonal delays to sculpt