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operational constraints and economic motivations across the value chain. To address these challenges, the project will develop multi-modal artificial intelligence methods to characterize metal scrap composition
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neurodevelopmental conditions, by bridging disciplines, from artificial intelligence, microelectronics, neuroengineering and nanoscience, to single-cell, imaging and molecular analysis, functional genomics and cell
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/Environmental Sciences, Natural Sciences, Artificial Intelligence or a related subject. Mode of Study Full-time Start Date 1 October 2026 Funding Information Note – use this field to provide related salary info
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Research Assistant Professor positions in Advanced Manufacturing, Artificial Intelligence, and Materials Design under the STAR (Space Technologies and AI-Driven Research) Frontier initiative. These positions
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by artificial intelligence. About ETH ZürichETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge
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artificial intelligence, biology, (cognitive) neuroscience, genetics, linguistics, mathematics, neurobiology, neuroimaging, neurology, neurophysics, philosophy, physics, psychiatry, and psychology
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of artificial intelligence starting in the department Physical Oceanography for a period of 36 months and a percentage of 75% (30h/week), subject to the funding of the project(s) by January 1, 2026. Remuneration
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a master’s degree in a field such as human-computer interaction, design, communication science, artificial intelligence, health informatics, or comparable. Work experience is not required. Minimum
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research in information and digital technologies (computer science, automation, robotics, artificial intelligence), with the aim of developing methods for representation, analysis, and control of complex
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produced by the EU in terms of climate change or artificial intelligence? Where to apply Website https://apply.interfolio.com/174494 Requirements Research FieldOtherEducation LevelMaster Degree or equivalent