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Postdoc Position in Explainable Reinforcement Learning Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline: 30
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Postdoc in Machine Learning for Oligopeptide Design (1.0 FTE) (V24.0584) « Back to the overview Job description The advent of modern machine learning (ML) methodology is accelerating scientific
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related to staff position within a Research Infrastructure? No Offer Description Are you passionate about improving collaboration, learning, and innovation among organizations to tackle grand challenges
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to inform conservation strategy and policy? Would you like to join a friendly and open environment where you can develop your skills and learn new things? Then this vacancy may be for you. About us Naturalis
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policy? Would you like to join a friendly and open environment where you can develop your skills and learn new things? Then this vacancy may be for you. About us Naturalis Biodiversity Center in Leiden is
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Job related to staff position within a Research Infrastructure? No Offer Description Contribute to pioneering robotics research in bridging physics and machine learning for the control of continuum soft
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Organisation Job description The advent of modern machine learning (ML) methodology is accelerating scientific progress by streamlining research across disciplines. In chemistry, it enables
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collaboration with educators, subject matter experts on DR, and edtech designers, the role of the postdoc will be to: Design of innovative pedagogical methodologies for learning pathways that support self-paced
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of the research proposal funded by NWO, you can contact Dr. Mireille Post (m.d.hubers@utwente.nl; +31534891115). You can find more information about the section Professional Learning & Technology via this link
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(Groningen), and the UK. This post-doc project offers a unique opportunity to work in an international environment and to acquire valuable research experience for someone who has recently completed a PhD in