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(m/f/d) in Graph Learning. Project overview This position offers a rare opportunity to contribute to the future of machine learning for graph-structured data. While machine learning has transformed
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centres’ three thematic fields – ‘history’, ‘experience’, and ‘nature’ – and relate to the fourth of the four designated themes for the following academic years: 2024/2025: Theory 2025/2026: Society 2026
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Programme? Not funded by a EU programme Reference Number DR/124/26 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Mathematics and Natural Sciences
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What you bring to the table completed scientific university degree in Mathematics doctorate in the field of mathematics desired expertise in algebraic geometry including papers on Moduli spaces
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for Biological Cybernetics. The successful candidate will work on a highly interdisciplinary and ambitious research program that aims to apply theory-driven cognitive computational modeling to rich and intensive
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Framework Programme? Not funded by a EU programme Reference Number AN/148/26 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Mathematics and Natural
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will work on a highly interdisciplinary and ambitious research program that aims to apply theory-driven cognitive computational modeling to rich and intensive educational data obtained from learning
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Programme? Not funded by a EU programme Reference Number DR/130/26 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Mathematics and Natural Sciences
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Programme? Not funded by a EU programme Reference Number DR/112/26 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Mathematics and Natural Sciences
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Programme? Not funded by a EU programme Reference Number DR/114/26 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Mathematics and Natural Sciences