530 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" Postdoctoral positions in United Kingdom
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such as computational social science, computer science, or cognitive science. They will have a demonstrable track record in studying humans and machine learning models, in the context of human social
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We are seeking to appoint a postdoctoral researcher to join our programme on application-specific detector R&D for physics experiments, supported by the UK Science and Technology Facilities Council
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(PI), Saiful Islam, Peter Bruce), with UCL Chemical Engineering (Dr Rhod Jervis) and 4 industrial partners that brings together expertise in battery materials synthesis and device fabrication, advanced
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will have a relevant PhD, a strong background in wet-lab research and experience with a range of standard cell biology experimental/analysis techniques. They should be confident to plan, deliver and
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an interdisciplinary team working across physical and computer science to develop new pathways to the design and discovery of inorganic materials as part of the Leverhulme Centre for Functional Materials Design. This
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part of an interdisciplinary team based at the Department of Biochemistry, University of Cambridge (Professors Chris Smith and Dr Katherine Stott) and the College of Life Sciences, University
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, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding experience with producing high-quality
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with fluorescent in situ hybridization of plant samples. Successful applicants will also have a PhD in the life sciences and a record of research productivity. Good communication skills, organization
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. statistics, mathematics, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding
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, economics, and other areas of computational social science; • AI scientists for natural science, integrating LLM agents with simulation and, where appropriate, robotic experimentation (e.g., automated “dry