251 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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in developmental tasks, they should have a strong interest in fundamental research, and have a general entrepreneurial mindset The candidate is willing to learn and apply fundamental concepts from
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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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and associated environmental impacts. Contribute to short-term (2026 to 2030) and long-term (2030 to 2050) verticalisation forecasting models based on machine learning, and to their validation against
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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 Opportunities and Diversity website to find out how we
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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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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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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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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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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 Opportunities and Diversity website to find out how we
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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