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a regenerative food system in the Netherlands? Are you interested in being embedded in an interdisciplinary research team? Do you have a PhD degree and skills set that puts you in a good position to
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surgery. Ideal candidates will have: A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar field. Proficiency in deep learning and exceptional
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, limited CO generation may lead to longer melting times. The primary aim of this research to determine the H-DRI melting mechanism with different DRI quality. Developing an understanding of the EAF slag
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intersection of AI, imaging technology, and oncological surgery. Ideal candidates will have: A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar
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for computing performance guarantees of autonomous AI agents under uncertainty, which will be integrated to various degrees into a use-case with self-driving shuttles. Based on your experience and interests, you
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. The group aims at research at the highest international level. Candidates that fit into this environment are invited to apply. Experience in fields such as nanopores, biophysics, single-molecule techniques is
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experimentalists that are eager to participate in our research. The group aims at research at the highest international level. Candidates that fit into this environment are invited to apply. Experience in fields
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. The group aims at research at the highest international level. Candidates that fit into this environment are invited to apply. Experience in fields such as NPC, DNA origami, IDPs, MINFLUX, biophysics, single
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at the highest international level. Candidates that fit into this environment are invited to apply. Experience in fields such as nanopores, biophysics, single-molecule techniques is welcomed. We foster diversity
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The Faculty of Spatial Sciences is looking to appoint a postdoctoral researcher on the topic of regional innovation systems. The main responsibility will be to initiate and perform research