327 data-"https:"-"https:"-"https:"-"https:"-"CNRS"-"Univ" Postdoctoral positions in United Kingdom
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- VIN UNIVERSITY
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on delivering high-quality data and mathematical models to inform the response to emerging veterinary parasitic disease threats and the impacts of global change on disease risk worldwide. The research group sits
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information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on Friday 03 April 2026 can be considered. You will be required to upload a
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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under the Skilled Worker Route. Applicants wishing to consider the SWR must ensure that they are able to meet the points requirement before applying. There is further information about this on the UK
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communication skills, including the ability to write scientific text well, present data clearly, and communicate science effectively. Applications for this vacancy should be made online and you will need
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, planning and organising analysis and research, with attention to detail are also required. You will have excellent communication skills, including the ability to write scientific text well, present data
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inference beyond human data and across many species, as part of a project focusing on predictive plant breeding. You will collaborate with an international team across the Universities of Edinburgh, Oxford
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vitro cell-based assays. You will possess strong experimental design and data analysis skills, with the ability to independently plan, execute and troubleshoot complex experiments. You will have highly
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-of-the-art genealogy-based statistical inference beyond human data and across many species, as part of a project focusing on predictive plant breeding. You will collaborate with an international team across
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with sufficient specialist knowledge in normal and malignant haematopoiesis research. Experience of molecular biology, single cell gemonics and/or spatial transcriptomics techniques and data analysis will be