540 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" Postdoctoral positions in United Kingdom
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metabolomics, and advanced statistical and computational analyses of large biological datasets. You will also support the maintenance of laboratory equipment and sample banks, ensuring full compliance with
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on Digesting Science, co-designing a schools programme with drama practitioners, teachers, children and families affected by Multiple Sclerosis, developing and testing participatory activities, prototypes and
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department in its field, running a globally competitive programme of research and teaching. The Kennedy Institute is a biomedical research centre uniquely bringing together discovery science and early-stage
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We are seeking to appoint a Postdoctoral Researcher in Neuroscience to play a central role in a Wellcome-funded translational research programme focused on understanding how immune mechanisms
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, Computer Science, Physical Science, Engineering, Mathematics, Statistics, Data Science, or a closely related discipline. Key responsibilities Implementation of a new knowledge graph architecture in the form
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models. The project has the potential to bring together ideas from several different areas: mathematics (polynomials, probability, complex dynamics systems), theoretical computer science (computational
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-clinical research to progress our programme targeting cell senescence towards clinical impact. The University of Dundee enjoys an international reputation for excellence that attracts top-class students and
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**Internal Only** About the Role We are seeking a highly motivated and talented Postdoctoral Research Associate to join an interdisciplinary research programme investigating genetic and molecular
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be close to finishing a PhD in bioinformatics, artificial intelligence, biophysics, or computational biology. The ideal candidate will have demonstrated experience in developing and applying
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials