140 machine-learning-"https:" "https:" "https:" "UCL" "UCL" research jobs in Netherlands
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week of April 2026. Where to apply Website https://www.academictransfer.com/en/jobs/358972/two-postdoctoral-researcher-pos… Requirements Additional Information Website for additional job details https
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group? Do you enjoy creating complex machines that have never existed before? Do you want to explore physics that nobody else has seen? If yes, then you might want to join the Ultracold Strontium Group
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and analytical outputs for stakeholders. Support stakeholder engagement activities (workshops and pilots). Contribute to academic publications based on the project’s work. Where to apply Website https
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at the intersection of military readiness and corporate operations. Defence capability development in Europe and European defence industry. Conduct independent empirically driven and comparative case-study focused
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into model-predictive control (MPC) or reinforcement learning (RL) frameworks to compute optimal exoskeleton assistance in real time. Validating the developed methods in human experiments using motion capture
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teaching and PhD supervision if you wish. Where to apply Website https://www.academictransfer.com/en/jobs/357811/postdoc-position-early-christia… Requirements Specific Requirements You hold a PhD degree in
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leader and follower decisions. We are seeking for a motivated and enthusiastic Postdoc (PD) researcher to join the Combinatorial Optimization group (https://www.tue.nl/en/research/research-groups
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. Screening is part of the selection procedure About the department The group of Prof. Guido Mul (<https://www.utwente.nl/en/tnw/pcs/>) is part of the Department of Chemical Engineering of the University
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. Where to apply Website https://www.academictransfer.com/en/jobs/357765/postdoc-position-in-the-simulat… Requirements Specific Requirements You are a driven and collaborative researcher with several or all
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opportunities for co-developing multispecies governance approaches with representatives of governance bodies and identifying ways to transform towards them. Finally, we will synthesize our learning across cases