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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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Supervisors: Professor Greg Hannon and Dr Ben Nicholson For further information about the research group, including their most recent publications, please visit their websites: https
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application of computational tools for the early detection and deconstruction of chromosomal instability in cancer” For further information about the research group, including their most recent publications
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, and simulations across physics, chemistry, and engineering. Applicants should have, or be expected to gain, a high (1st or 2:1) honours degree in Physics or Chemistry. Fixed-term: The funds
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footprint - while maintaining or enhancing the intended mechanical and durability performance. The work will deliver essential data on durability, microstructural development, and long-term behaviour
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: Advanced molecular and protein analysis Mass spectrometry-based imaging Multi-omics technologies Preclinical cardiometabolic animal models They will also gain professional development in data stewardship
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both sites. The project sits at the interface of cell line engineering, protein science and machine learning and you will receive advanced training in these areas while developing methods to accelerate
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information about the research group, including their most recent publications, please visit their website at https://www.carroll-lab.org.uk/ FOXA1 is a pioneer factor in Estrogen Receptor positive breast
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Supervisor: Professor Jason Carroll Course start date: 1st October 2026 Project details For further information about the research group, including their most recent publications, please visit