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Mathematics, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge
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Mathematics, Computer Science and Artificial Intelligence. The environment fosters truly interdisciplinary research with a great track record of national and international collaboration transferring knowledge
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for Psycholinguistics. Profile You should have, or shortly expect to obtain, a PhD in a relevant field (e.g. linguistics, psychology, biology, cognitive science, neuroscience, artificial intelligence). You have an
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, Computer Science and Artificial Intelligence. The position is embedded in the Multi-Agent Systems group of the department of Artificial Intelligence of the Bernoulli Institute. Qualifications PhD in Computer Science
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Employment 0.8 - 1.0 FTE Gross monthly salary € 4,728 - € 6,433 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 21 August 2025 Apply now Do you want
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Organisation Job description A postdoc position in computational social choice for AI Safety is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence
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associated with the spin-in of applied artificial intelligence to the space system domain; Designing and conducting representative capture-the-flag exercises, and in-orbit cyber exercise and technology
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Postdoctoral Researcher in Citizen Science & Societal Engagement for an Inclusive Energy Transition,
interdisciplinary education and (new) scientific knowledge. Whether it is terrorism, security, artificial intelligence or a governance solution to the housing crisis, contemporary issues are comprehensively
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academic Chair, where we interface robotic technologies with the neuromuscular system to improve movement. We apply artificial intelligence, computational modelling and biological signal processing, in a
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with the neuromuscular system to improve movement. We apply artificial intelligence, computational modelling and biological signal processing, in a translational way, to develop novel real-time bio