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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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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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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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" (Supervisor: Prof Timothy O'Leary) uses principles from systems neuroscience to develop reliable, low-power spiking neural networks and learning algorithms for implementation in a new generation of neuromorphic
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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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international applicants eligible for Home fees. Self-funding is not permitted. How to apply Apply via the University of Cambridge Applicant Portal for the PhD in Medicine. https
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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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) uses principles from systems neuroscience to develop reliable, low-power spiking neural networks and learning algorithms for implementation in a new generation of neuromorphic hardware. Both projects
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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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will not be allowed to supplement fees via self funding. About the project Understanding crystal structure is crucial not only during the discovery phase, where structural elucidation is routine, but