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. The post is funded by the Engineering and Physical Sciences Research Council (EPSRC) and is fixed term to 30 November 2027. The research project will employ cutting-edge experimental methodologies
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Research Fellow – Mesozoic plant chemistry and experimental taphonomy School of Biosciences, Sutton Bonington Campus Full-time, fixed term for 31 months Applications are invited for a Research
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the Engineering and Physical Sciences Research Council (EPSRC) and is fixed term to 30 November 2027. The research project will employ cutting-edge experimental methodologies to elucidate the pathways for human
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regional hospitals in the Central Denmark Region. We have approx. 30,000 square metres of modern research facilities for experimental surgery and medicine, animal facilities and also advanced scanners at our
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outcomes and guiding fabrication recipe optimisation. By learning directly from experimental and process data, these models will enable a shift from iterative, trial-and-error fabrication towards predictive
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essential. Preferred areas of expertise include experimental design in models of early life stress including maternal separation and adolescent social isolation, experience with stress paradigms such as
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18 Apr 2026 Job Information Organisation/Company CNRS Department Institut de génétique et développement de Rennes Research Field Chemistry Physics » Biophysics Biological sciences » Biological
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
experimental method is GISAXS both ex-situ and in-situ during solvent vapor annealing. At RUCSAXS an advanced setup for such in-situ studies is available. The postdoc is expected to participate in
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on the ways learners process spoken input, engage with digital characters, and experience language-based interaction in AI-enhanced environments. The study involves two phases. One focuses on how learners
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directly from experimental and process data, these models will enable a shift from iterative, trial-and-error fabrication towards predictive and data-driven manufacturing. We are seeking a highly motivated