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technologies Data analysis of real-world monitoring data Artificial intelligence and machine learning for engineering applications Researchers in COMBINE benefit from interdisciplinary, international,and inter
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learning environment in which the rights and dignity of all employees and students are respected. On our website, you can learn how we ensure a fair and open environment in which everyone can grow and thrive
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Graduate Institute of International and Development Studies, Geneva; | Switzerland | about 1 month ago
are also welcome. The successful candidate will be affiliated to the Department of International Law . They will teach postgraduate courses and supervise master’s dissertations and PhD theses in
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person who can contribute to interdisciplinary research in the behavioral or cognitive sciences. The selected candidate will bring expertise in principles of animal behavior and its evolution, learning and
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., at Paul Scherrer Institute) Fabricating thin-film devices in a cleanroom and performing electrical and transport characterization Using first-principles calculations and machine-learning foundation models
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In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity
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. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal
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Centre (UNICC), and EPFL is seeking a Project Coordinator for ETEL-AI (Empowering Training, Education and Learning with AI). The coordinator will serve as central operational point of contact and
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modern empirical methods would be useful, but expertise across all of these areas is not required We value a research culture in which people share ideas, learn from one another and treat each other with
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of computational and applied mathematics, including but not limited to data-driven numerical modeling, scientific machine learning and AI for science and engineering, computational uncertainty quantification