599 systems-science-"https:" "https:" "https:" "https:" "Stanford University" Postdoctoral positions in United Kingdom
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The School of Computer Science and Informatics is seeking to appoint an individual to work on rigorous methods to address the risks of generative AI systems. The primary focus will be on techniques
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Location:Hammersmith Campus About the role: We are seeking a highly motivated and skilled Research Associate to join the Cancer Metabolism and Systems Toxicology Group, led by Professor Hector Keun
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We are seeking a full-time Postdoctoral Research Assistant to join the Environmental Fluid Mechanics Group at the Department of Engineering Science in central Oxford. The post is externally funded
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Advert Research Assistant Division of Infection and Immunity School of Medicine College of Biomedical and Life Sciences A Research Assistant position funded by the Wellcome Trust is available in
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Act 2006. Full-Time, Fixed-Term until 30 November 2028 Applications are invited for the post of Post Doctoral Research Associate (PDRA) in the Department of Computer Science at Royal Holloway. This is a
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Role Description Research Centre & Department The Leverhulme Centre for Anthropocene Biodiversity is a research centre of academics from a wide range of disciplines collaborating to increase
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Role Description Research Centre & Department The Leverhulme Centre for Anthropocene Biodiversity is a research centre of academics from a wide range of disciplines collaborating to increase
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effectively with colleagues working across social science, law and data science. A strong understanding of migrants’ interactions with welfare systems, and of the social implications of welfare-AI is essential
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their expertise in being part of a laboratory delivering assay results to underpin a multicentre drug screening programme in ALS. This post is suitable for a bioscience graduate with excellent organisational skills
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. Richard Nickl and work in the project area 'Statistical aspects of non-linear inverse problems', which broadly addresses mathematical and foundational challenges in contemporary data science and the theory