591 parallel-computing-numerical-methods-"Prof" Postdoctoral positions in United Kingdom
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Field
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of the resulting materials will be undertaken using thermal, mechanical and rheological methods, as well as using spectroscopy and GPC methods. Materials will be tested in applications and end-life recycling
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to perform a broad array of bespoke tasks effectively and with minimum operator intervention. This role is an integral part of our EPSRC Programme Grant in Embodied Intelligence and will involve both
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Applications (EMA) research group (https://www.aalto.fi/en/department-of-chemistry-and-materials-science/electrochemical-materials-and-applications ), led by Prof. Daniel Martin-Yerga, is seeking a highly
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collaborative links thorough our collaborative network. The researcher should have a PhD/DPhil (or be near completion) in robotics, computer vision, machine learning or a closely related field. You have an
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at Aalto University School of Science, in collaboration with the groups in the National Center of Excellence “QMAT - Quantum materials”. In parallel, the NANO group is pursuing work on fractional Chern
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cell culture, biochemical/protein methods (e.g. immunoprecipitation (IP), mass spectrometry) and molecular biology are essential. Experience in stem cell differentiation, fluorescence microscopy and
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Associate to join a research project based in the groups of Prof. Aurora J. Cruz-Cabeza and Prof. John Evans. The project is part of a new £7m EPSRC funded Programme Grant that brings together a team of
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methods (e.g. immunoprecipitation (IP), mass spectrometry) and molecular biology are essential. Experience in stem cell differentiation, fluorescence microscopy and CRISPR/Cas9 gene editing are desirable
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Law and Ancient Legal History in the team of Univ.-Prof. DDr. José-Domingo Rodríguez Martin. The advertised position is aimed at a person who conducts independent research and teaches in the fields
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Associate to join a research project based in the groups of Prof. Aurora J. Cruz-Cabeza and Prof. John Evans. The project is part of a new £7m EPSRC funded Programme Grant that brings together a team of