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We are currently seeking a Postdoctoral Research Associate to join our dynamic group at the Department of Biology, University of Oxford. The Verd lab is interested in the diversity of biological
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developing new optogenetic treatments for inherited retinal diseases. We are looking for highly qualified individual (PhD/DPhil) with outstanding academic credentials, who can work well under pressure and
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We are seeking a well organised and self-motivated researcher to work on the Faraday Institution funded SOLBAT and/or LiSTAR projects, reporting to Prof. Mauro Pasta. Applicants must hold PhD/DPhil
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Applications are invited for a Postdoctoral Research Associate in Atmospheric Dynamics position. This role is part of the recently funded NERC ‘Arctic Butterflies’ project to investigate the role
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The Department of Biology is seeking to recruit a Postdoctoral Research Associate for 6 months (ending no later than 18th April 2026 currently). This post is financially supported by funds from a
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especially suitable for someone with strong formal reasoning and data analysis skills who is considering progression to a PhD or further postdoctoral research in AI ethics, social choice theory
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, you will help guide junior team members, contribute ideas for new research directions, and support occasional public engagement activities. It is essential that you hold a PhD/DPhil (or close
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12 months. The project involves developing nanopore sensing technologies for functional biomolecules and is funded by Bill and Melinda Gates Foundation. Find out more about the research and group
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potential to uncover new mechanisms governing the fundamental biological process of gene expression. The planned research, funded by an HFSP Research Grant, is a close collaboration between the Wrobel Lab
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
illnesses. The post holder will also co-supervise a PhD student who will be involved in the same project. This is a highly interdisciplinary project combining forest ecology, remote sensing, machine learning