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, or a similar field; Strong mathematical background: basic knowledge of graph theory and excellent background in linear algebra, finite fields and rings; Strong background in digital hardware design and
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development in repair and remanufacturing, allowing for longer product lifetime and promoting a more sustainable and circular economy. This project investigates and integrates two crucial elements
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machine learning solutions to optimize the component lifecycle directly contributing to a more circular economy. Information In the manufacturing landscape, determining whether a component should be
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the Dutch research council (NWO). You will be part of a team with another PhD student and two consecutive postdoctoral researchers, supervised by Dr. Tim van Erven. This is what you will do: AI and machine
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understanding of lithium mineral systems is clearly needed to support exploration efforts for this energy critical metal. The PhD student will explore the geochemical behaviour of lithium in the Earth's crust as
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interactive component. The position is with Prof. dr. Cees Snoek, Professor, head of the Video & Image Sense lab (VIS lab), at the University of Amsterdam. VIS lab is a world-leading lab on Computer Vision and
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at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component. The position is with Prof. dr. Cees Snoek, Professor, head of the Video
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Encryption (FPE), Multi-Party Computation (MPC), Homomorphic Encryption (HE), and Zero-Knowledge (ZK). These applications are usually defined over prime finite fields, and more recently, even over integer
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and integrates two crucial elements for the breakthrough and impact of Additive Manufacturing: Standardization and Intellectual Property (IP). Aiming for both theoretical and practical contributions
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Centre for Cognitive Science and Artificial Intelligence at Tilburg University. The project will be supervised by Dr. Koen Haak and involve collaborating closely with a postdoctoral researcher, the group