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funded PhD studentship available for home (UK) students starting October 2026. This studentship will cover fees and stipend for home students at the UKRI + LCLU uplift of £1,000 per year for 4 years and
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Location: West Cambridge The world-renowned Cavendish Laboratory is seeking an enthusiastic, self-motivated student who enjoys working as part of a team to undertake a PhD in the NanoPhotonics Group
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non-clinical PhD studentship in cardiometabolic research, commencing October 2026 in the Department of Medicine (VPD Heart & Lung Research Institute), University of Cambridge. The project will be based
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The Centre for Doctoral Training in Nanoscience and Nanotechnology (NanoDTC) at the University of Cambridge invites applications for its 3.5-year interdisciplinary PhD programme. The programme
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We invite applications from creative and motivated individuals to join Professor Sir Shankar Balasubramanian's group for a 4-year PhD studentship, working on a multidisciplinary project exploiting
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country United Kingdom Application Deadline 15 Sep 2025 - 23:59 (Europe/London) Type of Contract Temporary Job Status Full-time Offer
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PhD studentship: Defining the role of the pioneer factor FOXA1 in hormone-dependent cancer Supervisor: Professor Jason Carroll Course start date: 1st October 2026 Project details For further
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Funder: Astra Zeneca Duration: 4 years from October 1st 2026 Supervisors: Prof Paul Midgley (University of Cambridge) and Dr Okky Putra (Astra Zeneca) Location: The studentship will be based in the Department of Materials Science and Metallurgy, University of Cambridge and the new AstraZeneca...
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Supervisors: Dr Tim Halim and Dr Gregory Hamm Course start: 1st October 2026 Overview The project will be supervised by Dr Tim Halim, Dr Albert Koulman (Institute of Metabolic Science) and Dr Gregory Hamm (AstraZeneca). Project details The tumour immunity cycle involves cyclical trafficking of...
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Two fully-funded 3-year PhD studentships are available in Neuromorphic and Bio-inspired computing at the interface between control engineering, electrical engineering, computational neuroscience