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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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are based in the Departments of Physics, Chemistry, Engineering, Materials or another relevant department across the University. The Midi research project is typically linked closely to the intended PhD
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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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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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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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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). Further
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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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also throughout the development phase, which involves transforming a molecule into a medicine and addressing various chemistry, manufacturing, and control (CMC) challenges. A key aspect of this process
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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