372 proof-checking-postdoc-computer-science-logic positions at University of Cambridge
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breastmilk research and apply molecular and biochemical approaches to bridge physiology, developmental biology, metabolism, and genetics. The lab takes a systems-level approach: studying the mother, the milk
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We are seeking an experienced and enthusiastic Cloud Engineer to be based at the Institute of Astronomy (www.ast.cam.ac.uk ) in collaboration with the Research Computing Services (www.hpc.cam.ac.uk
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. The Hamilton Kerr Institute (HKI) is a sub-department of the museum and is one of the world's leading centres for teaching and research in paintings conservation and heritage science. The Public Programmes team
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appropriate to the post, including checks with past employers and the Disclosure and Barring Service. All appointments are subject to a criminal background check and proof of qualifications in accordance with
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The Finance Transformation Programme is part of a series of change initiatives at Cambridge University, which aim to embrace new ways of working to better support our staff and academic mission
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the implementation of the climate SI&E program Manage the impact future-proofing of the SI&E work. About the Role: The Social Innovation and Entrepreneurship Coordinator will work with the Head of Social Innovation
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The Clinical School Computing Service (CSCS) is looking for an articulate, self-motivated and proactive IT Migration Engineer to join our IT Infrastructure Team. The successful candidate will be
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) programme (https://www.ccge.medschl.cam.ac.uk/research-studies/active-programmes-studies/cancer-data-driven-detection-cd3-programme ), and the Certain about Uncertainty programme (https://wellcome.org
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their wellbeing in and out of work and there are plenty of opportunities to join in with the regular wellbeing events that are run at the School as part of the Clinical School Wellbeing Programme. The team is based
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. Candidates should have completed, or be about to complete, a masters degree in a relevant discipline (computational biology, immunology, genetics). Computational experience dealing with genomic data sets is