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team at AMOLF, working on fundamental questions on physical self-learning systems as part of the NWO ENW‑M1 project “How do physical learning systems learn?”. The research position is intended to start
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, multi-modal data, and GPU-accelerated machine learning for materials science. Information We are seeking two highly motivated postdoctoral researchers to join the Horizon Europe project SIMU-LINGUA, a
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that can learn to manipulate the physical world — safely, reliably, and from just a handful of demonstrations? The University of Amsterdam’s VISLab is looking for a Postdoctoral Researcher in Robot World
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to develop generative AI methods for nanoparticle drug delivery design, at the intersection of machine learning, explainability, and pharmaceutical nanotechnology. Job description We are looking for a
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: https://rademaker.unige.ch/ The candidate · holds a PhD (or an equivalent degree) in Theoretical Quantum Matter Physics by the starting date; · has excellent spoken and written English
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January; multiple courses to follow from our Teaching and Learning Centre; a complete educational program for postdocs; multiple courses on topics such as leadership for academic staff; multiple courses
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at least one article in a peer-reviewed journal You will contribute to the acquisition of data on prayer books in Middle Dutch in the PRAYER database (the database has been set up in Heurist; https
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Machine Learning, Computer Science, Mathematics, Statistics, Physics or a closely related field and want to join the mission of unlocking the “geometry of artificial intelligence” then come join us! Join us
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will directly support the energy transition by creating future-proof learning environments that prepare professionals for emerging roles in the hydrogen economy. Where to apply Website https
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, the fusion community has started to develop fast surrogate models based on Machine Learning / AI models to speed up significantly the employed tools. Such tools have demonstrated to be generally applicable and