28 phd-position-in-data-modeling-"Prof"-"Prof" PhD positions at University of Cambridge in United Kingdom
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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
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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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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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. Applications may close early if the position is filled before this date. Please note that any offer of funding will be conditional on securing a place as a PhD student. Candidates will need to apply separately
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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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considered. Qualifications/Skills PhD degree in a programme relevant to human-computer interaction and/or critical computing, ideally in Computer Science, Industrial Engineering, Interaction Design, or a
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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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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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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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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter