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for collaboration with experimental groups working on physical learning in electronics, mechanics, and living flow networks (Physarum Polycephalum). For more information about our work, see: [1] Stern, Hexner, Rocks
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large-scale training of scientific foundation models You will collaborate with researchers across machine learning, scientific computing, materials science, and data engineering, and work with leading
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the forefront of neuroscience and photonics, developing all‑optical tools to study human neurons in a collaborative, interdisciplinary research environment. We are seeking an enthusiastic researcher for a two
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that strengthens collaboration, reduces time-to-job, and drives innovation for a climate-neutral society. In this position, you will design and optimize learning communities that integrate learning
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researcher in neurocomputational models of adaptive learning is welcome to join our ERC-funded project. Together we investigate how people make approach–avoidance decisions under threat within a dynamic
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to foster collaboration between education, industry, and government, ensuring professionals acquire future-proof skills to enable lifelong learning. Your focus is on digital learning environments, including
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postdoctoral researcher, you will contribute to a collaborative ZonMW open competition project (a team of two postdoctoral fellows embedded in two different institutes) dedicated to dissecting gametocyte
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research project on ‘Opportunities and challenges in children’s comprehension of multiple digital texts’. You will collaborate with a PhD candidate and the supervising team in setting up and conducting
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in engineering multidisciplinary student teams. The project offers opportunities for collaboration with other ongoing research projects on team learning in CBL, while allowing the postdoc to develop
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. Our academics collaborate in six research centres and teach more than 1,000 students. Our staff and students are committed. The lines of communication are short and each individual student and staff