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Thermo-mechanical methods of recycling fine aggregates - recovery of clean sand and cement paste rich powder. We are seeking for a highly motivated PhD candidate to join our research team
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decisional role. The candidate will identify how the matching mechanisms should be devised to favour the match and lead to sustainable (multimodal) choices. Among others, we expect that game-theoretical models
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Faculty of TU Delft (Mathematical Decision Making Group) and is the co-director of the AI*MAN lab. The promotor (Dr. M. Mazo Espinosa) and co-supervisor (Dr. C. Cenedese) are affiliated to the Mechanical
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the project. PhD position 2: will explore the experimental design and testing of laminar hump models and undertake advanced flow measurements to characterise the underlying transition mechanisms. The candidate
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enzymes that can facilitate new reactions that were previously not known in nature. To this end we will adapt existing enzyme architectures (i.e. naturally occurring cofactors and catalytic machinery
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, Artificial Intelligence, Computer Science, Mechanical/Electrical Engineering or Applied Mathematics (or related). Interest in robotics, artificial intelligence and data science. Demonstrable experience in
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of the University of Amsterdam (Prof. Cees Snoek). Need to haves: Graduated in one of these fields: System and Controls, Artificial Intelligence, Mechanical/Electrical Engineering, Robotics, or Applied Mathematics
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production and manufacturing systems in high-tech industry, and substrate handling systems can be found everywhere in this industry. Every mechanical contact between system components that are in relative
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of ‘’fully biobased’’ FRP composites in various hygrothermal conditions will be investigated and NDT techniques will be employed to simultaneously monitor damage mechanisms. This PhD position is within Horizon
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the fully mechanical propulsion concepts as nowadays applied in shipping. Even (partly) mechanised contemporary Wind Assisted Ship Propulsion (wasp) concepts require an independent back-up propulsion system