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property prediction, modern artificial intelligence methods, molecular dynamics, and interdisciplinary research, this is your chance to be part of an exciting journey at the forefront of science and
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
more than 20 countries. We perform basic and applied research within plant, livestock and human quantitative genetics. Our focus areas include quantitative genetics, artificial intelligence applied
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The Faculty of Electrical Engineering and Computer Science, Leibniz University Hannover | Hannover, Niedersachsen | Germany | 27 days ago
W3 NBesO, starting as soon as possible: University Professorship in Intelligent Systems The Position Leibniz University Hannover invites outstanding researchers in the field of Artificial Intelligence
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, artificial intelligence, network and communication, virtual reality, statistics, data science, computational and applied mathematics, AI for science, AI in healthcare, AI for drug discovery and design etc
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, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific
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more than 20 countries. We perform basic and applied research within plant, livestock and human quantitative genetics. Our focus areas include quantitative genetics, artificial intelligence applied
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York University Abu Dhabi, seeks to recruit a highly motivated post-doctoral candidate in the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property
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artificial intelligence Software engineering Position details Positions are intended for researchers who have recently completed their doctoral degree or who will complete their doctoral degree before starting
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to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH ZürichETH Zurich is one of the world’s leading universities specialising in
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develop interdisciplinary programmes in key strategic areas including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and brain