Sort by
Refine Your Search
-
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
-
Digital-Twinning of Electric Propulsion Systems Applications are invited for the above multiple research studentships to join the Power Electronics, Machines and Drives Research Group
-
PhD Studentship in the History of Architectural Representations This call is for a PhD student that is interested in exploring the history of architectural representations. Topics of any time
-
supervisors spans five departments at University of Nottingham including Architecture and Built Environment, Electrical and Electronic Engineering, Mathematics, Physics and Social Sciences. The PhD programme
-
4 year PhD Studentship: Deciphering how domain organisation regulates heparan sulphate function University of Nottingham, School of Medicine Supervisors: Prof Cathy Merry, Prof. Kenton Arkill, Dr
-
Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms Background Network Rail operates several telecom networks which provide connectivity for various...
-
Fully-funded PhD Studentship: Adaptive Mesh Refinement for More Efficient Predictions of Wall Boiling Bubble Dynamics This exciting opportunity is based within the Fluids and Thermal Engineering
-
PhD Studentship – New approaches for studying the structure of high-temperature molten materials Transition: (October 2025 start) Supervisor 1: Emma Barney Supervisor 2: Oliver Alderman (ISIS
-
Sperm elasticity as an index of sub-fertility and as an environmental target. A PhD opportunity is being offered between The Optics and Photonics Research Group at the Faculty of Engineering and the
-
Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The