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The MSN Department is looking for a motivated candidate to synthetize organic products compatible with Porous Liquid Types 1 to 3 technology for CO2 capture and separation applications. About
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hold a PhD in Urban Development, Computer Sciences or Engineering or related domain but with specialization in Machine Learning and GIS. The candidate is expected to have hands-on experience in fields
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different research clusters including Energy Transition, Surface Technology and Metallurgy, Polymers and Composites, and Sustainable Materials. With some 100 researchers and PhD students and several national
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