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the earliest signals of carcinogenic risk. This PhD project aims to transform how we evaluate the potential for new drugs and chemicals to cause cancer, by tracking somatic mutations and clonal expansions in
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PhD Studentship ¿ Refractory High Entropy Superalloys for High-Temperature Applications Funder: EPSRC and Rolls-Royce plcDuration: 3.5 years Supervisors: Prof. Nick Jones & Prof. Howard Stone
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The British Museum and the University of Cambridge are pleased to announce the availability of a fully funded Collaborative doctoral studentship from October 2025 under the AHRC's Collaborative Doctoral Partnership consortium (https://www.ahrc-cdp.org ). This project aims to explore wider...
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PhD Studentship: Development of Next-Generation High-Performance Titanium Alloy for Aerospace Applications Funder: EPSRC and Rolls-Royce plc Duration: 3.5 years Supervisors: Professor Nick Jones and
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PhD Studentship: High-Throughput Recycled Green Steel Prototyping for Electric Furnace Steelmaking Funder: EPSRC & Tata Steel UK Duration: 4 years (starting October 2025) Supervisor: Dr. David
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The Managers of the Autism Research Trust Fund invite applications for a fully funded PhD studentship in autism research in the Department of Psychiatry, commencing in October 2025. This studentship
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We are seeking an applicant for a fully-funded ERC Research Assistant position with funding to undertake a PhD in analytic number theory led by Dr Joni Teräväinen, in the Department of Pure
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Applications are invited for a fully-funded 3-year PhD studentship based in the Department of Clinical Neurosciences at the University of Cambridge under the supervision of Professor Stephen Price
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This is a four-year (1+3 MRes/PhD) studentship funded through the Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT
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catalytically active metals to drive chemical reactions with light [3-4]. The specific goals of this PhD project are to 1) understand how plasmonic Mg nanoparticles and their surface oxide layer attract and