28 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Leiden University
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Mathematics (Inverse Problems), Computer Science (Machine learning, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of the NXTGen High-tech
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multimodal data integration across organismal domains and data modalities, making use of state-of-the-art methodologies such as systems/network analysis, artificial intelligence and machine learning and/or
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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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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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studying folding dynamics of complex proteins in isolation or within a condensate environment. For more information, see: https://www.mashaghilab.org and https://www.universiteitleiden.nl/en/science/drug
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. For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions What we value Promoting an inclusive community
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inference to machine learning and artificial intelligence. Leiden Observatory aims to remain at the forefront of these developments — in both research and education — by strengthening its expertise in
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for benefits such as an advantageous sports subscription and bicycle scheme; For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and
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of related events and activities. In addition, they may be given a temporary appointment at the University to design and teach an undergraduate course in the general area of their interest. Requirements A
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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