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social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics, Inequality, and Opportunity. About you You have completed a doctorate in
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researchers in the Future of Food programme at the Oxford Martin School. You must hold or be close to the completion of a doctoral degree in a relevant field (e.g. data science, industrial ecology, geography
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writing and programming skills are essential. A proven record of publishing in high-quality journals and presenting at scientific meetings will be required, demonstrating your ability to lead and deliver
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out research in cosmic microwave background physics or one or more of the following fields: cosmology, galaxy formation, numerical astrophysics, survey science tied to the up and coming large scale
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Are you passionate about pushing the boundaries of protein science? We are seeking a talented and driven postdoctoral researcher to join a BBSRC-funded project in Single Molecule Proteomics
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. • Knowledge, experience, and technical proficiency in working with rodent animal models, with a good working knowledge of ASPA [Animals (Scientific Procedures Act) 1986] and in possession of a personal home
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to a large-scale, interdisciplinary research programme. We are looking for someone with proven expertise in a fast-paced environment, who is committed to delivering high-quality research support and
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Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and applying cutting-edge mathematical methods to spatial transcriptomics imaging data in order to
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hepatitis and liver disease. This post is funded by the National Institute for Health and Care Research (NIHR) as part of a significant research programme that leverages large-scale healthcare datasets
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atmospheric physics, meteorology, climate, numerical methods, and data science. The Research Associate will be proficient in programming/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script