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and Life Science http://www.res.titech.ac.jp/english/ [Work content and job description] The successful candidate will conduct research on electro-catalysts, membranes, fuel cell materials and cells
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Institut Lumière Matière ILM- UMR 5306 CNRS / Université Claude Bernard Lyon 1 | Villeurbanne, Rhone Alpes | France | about 1 month ago
) are membrane-less structures that contribute to essential biological functions thanks to their ability to selectively concentrate molecules, thus providing a fundamental mechanism for cellular organization and
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Overview An exciting opportunity is available in the School of Mechanical, Aerospace and Civil Engineering at the University of Sheffield for a Research Associate to use their computational and
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of Mechanical, Aerospace and Civil Engineering for a Research Associate to use their skills in fluid mechanics to revolutionize haemodialysis and make a profound impact on global health. You will join the
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Established track record in R&D, teaching, and fundraising Proven hands-on expertise with membrane-based technologies for desalination Experience with the mitigation of fouling phenomena and/or management
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cell engineering research covers topics such as protein folding in the secretory pathway, regulation of membrane traffic, control of cell cycle, cytokinesis, compartmentalisation of cellular signalling
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of engineering and technology sciences. Experience in biosensor technology, in particular enzymatic sensors and various techniques for immobilizing biocomponents, as well as ion-selective and membrane-based
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while simultaneously creating lab climates in which everyone can thrive and benefit from their leadership and inclusive mentorship. Located on the Davis campus in the Departments of Physiology & Membrane
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for blocking the viral fusion process. Approaches include virology, cell biology, biochemistry, structural and computational biology. The candidate will be doing research focused on viral entry and membrane
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Automatization and Digital Enhancement of Characterisation Techniques: Joining the Dots between AI, Machine Learning and Materials Advances School of Chemical, Materials and Biological Engineering