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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Shape intelligent control and coordination in future complex
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within the M2i framework Your work environment You will be part of Team Dey within the Computational Materials Science section at TU Delft. This team focuses on atomistic simulations to investigate
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, where increasing electrification and automation can give rise to stray currents and voltages that are difficult to locate and may affect cow welfare and behaviour. You will perform measurements on farms
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requirements for osteogenesis b) to dissect how targeted manipulation of the hydrogel affects mechanoregulation in human dental pulp stem cells, and c) to propose a computational model to elucidate and predict
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Join a cutting-edge research programme at TU Delft and investigate the mechanisms of hydrogen-induced degradation in circular steels. Job description Within this project, you will investigate one
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 2 hours ago
Intelligence and the Life Sciences. We are building an AI-native, closed-loop research engine where automation, computation, and intelligent agents work together to decode, model, and rewrite biological circuits
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Deadline 13 Oct 2026 - 22:00 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 28.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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This three-year full-time PhD project will explore nutrition in Taekwondo, a weight-category combat sport where the way athletes fuel, recover and manage weight affects both performance and long
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19 Sep 2026 Job Information Organisation/Company Wageningen University & Research Research Field Agricultural sciences » Agricultural products Computer science » Informatics Computer
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. The research combines robotics, computer vision, artificial intelligence, machine learning, control systems, and medical robotics to solve one of the most challenging problems in modern automation. Project