33 phd-mathematical-modelling-population-modelling PhD positions at University of Cambridge
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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
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@ch.cam.ac.uk , including 'PhD CI ¿ October 2026' in the subject. How to apply Please apply via the University Applicant Portal. For further information about the course and to access the Applicant Portal, click
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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 their website at https://www.carroll-lab.org.uk/ Prostate cancer is the most common cancer in men in...
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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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Applications are invited for a fully funded 4-year PhD studentship based in the Department of Biochemistry, University of Cambridge, and the new AstraZeneca Discovery Centre in Cambridge
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comprehensive model of what tranquillity is, the factors that influence it and how to design for it. Attention to design contexts and design processes will be key to ensuring that useful measurements, methods and
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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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the Further Information document Further information on the Faculty of History's PhD programme can be found here: https://www.postgraduate.study.cam.ac.uk/courses/directory/hihipdhis and https
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Biology, Physics, Applied Mathematics, Computer Science, Bioengineering, Systems Biology or a related field. Proficiency in modelling using differential equations is required. Candidates must have
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catalytically active metals to drive chemical reactions with light [3-4]. The specific goals of this PhD project are to 1) understand how plasmonic Mg nanoparticles and their surface oxide layer attract and