707 phd-rehabilitation-engineering-computer-science Postdoctoral positions in United Kingdom
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experience in working with human neuronal cell lines that provide models of understanding the biology of protein aggregation and its phenotypes. About you Applicants must hold a PhD in Chemistry or a relevant
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50 Faculty of Life Sciences Startdate: 01.08.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.07.2031 Reference no.: 4188 At the University
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. You will join a group currently comprised of an interdisciplinary mix of chemists, physicists, mathematicians and engineers. The group seeks to carry out world-class science through a strong emphasis on
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Department of Science, Innovation and Technology, with a mission to equip governments with a scientific understanding of the risks posed by advanced AI. The WearAI project is investigating the societal
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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scholars in Law and two PhD students (one in Law and one in Computer Science/Data Analytics), as well as with international, European and national stakeholders involved in the CURE project. The post-holder
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). About you Applicants will possess a relevant Masters, PhD or equivalent qualification/experience in a related field of economics, health economics or health-related quantitative discipline and be able
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-leading research. Education, Qualifications and Experience Essential A PhD in physics or engineering with a specialisation in ultrafast nonlinear optics and/or ultrafast spectroscopy, or extensive
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We are seeking a full-time Postdoctoral Research Assistant to join the Dynamic Robot Systems Group, part of the Oxford Robotics Institute and the Department of Engineering Science, University
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, to identify promising research directions, to develop new research methods, to implement those methods in computer code, and to evaluate their performance on various data sets and applications. To take part in