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and translational questions in developmental and cancer biology. The position sits within Dr Simon Poland’s Advanced Microscopy Development Group in the Comprehensive Cancer Centre and interfaces
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scientific publications, patents, and seeing collaborators translate our work into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and
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research, adapting existing and developing new scientific techniques and experimental protocols. You will work with limited supervision to design and accurately execute experiments to achieve the goals
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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The Faraday Institution has funded a new research consortium project entitled “Accelerated Development of Next Generation Li-Rich 3D Cathode Materials (3D-CAT)”. This collaborative project between
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molecular evolution, particularly in viruses with epidemic and pandemic potential, as well as those with significant implications for plant and animal health. This post is part of a Wellcome Trust-funded
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conduct cutting edge research that builds on our preliminary research with Open Weight Local Large Language Models (e.g. Llama3, and Phi4) and Commercial models (e.g. Claude 3.7 and Gemini 2.5) to develop
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in the Department of Chemistry, University of Oxford, for a period of up to 3 years. The project involves the development of methods to use light to regulate transport of amino acids and to engineer
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. They will be expected to disseminate their results in papers, conference presentations, and/or other outputs, and will be supported in career development. As part of the Maclean lab, you will also join the
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. To work towards this goal, this 2-year project will develop photoluminescence and spin control capabilities, under cryogenic conditions, to probe the defects’ electronic structure and spin properties