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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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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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" (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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-energizing exhausted T cells, it is becoming apparent that many checkpoint drugs act on specific subsets of ‘stem like’ T cells, which are present in the lymph nodes, or other sites such as the tumour itself
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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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Supervisor: Professor Sir Shankar Balasubramanian Course start date: 1st October 2026 Overview Professor Sir Shankar Balasubramanian is seeking a student to work on the structure and function
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to cancer biology, as well as a strong commitment of developing and using new tools to address cutting-edge questions in these fields. This studentship is embedded within the piRNA team, consisting of both
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, including their most recent publications, please visit Markowetz group website at https://www.cruk.cam.ac.uk/research-groups/markowetz-group/ Project details Chromosomal instability (CIN) is a hallmark of
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A PhD studentship is available to work on Logistics automation. The student associate will work in the Intelligent Logistics Group within the Distributed Information and Automation Laboratory (DIAL
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/protein analyses). Experience in mouse work, organoids, CRISPR, flow cytometry and computational skills is highly desirable. Please note that working with laboratory mice throughout the PhD is an essential