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Science, Computer Engineering, Artificial Intelligence, Physics, Mathematical Engineering, Mechanical Engineering or similar. Relevant skills: Strong background in machine learning/data science. Deep knowledge
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Requisition Id 15510 Overview: Do you have a passion for applying artificial intelligence (AI) methods for accelerating scientific discoveries and an ability to think outside of the box in a
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emerging technologies such as artificial intelligence, quantum technologies, and space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer
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. The aim of the Norms & Practices Lab of the Cluster of Excellence is to investigate from an interdisciplinary perspective how the advent of transformative machine learning and artificial intelligence
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of WP5 of MishMash, with the possibility of contributing to additional work packages. It welcomes projects investigating how artificial intelligence is reshaping cultural production, circulation, and
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the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates
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, the Finnish Center for Artificial Intelligence (FCAI), the Centre for AI Fundamentals at the University of Manchester, the rest of ELLIS , and researchers from other fields. Samuel Kaski is Professor
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. We foster excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and
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starting July 2025, and will remain open until excellent fits are found. The successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine
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in Data Science, Artificial Intelligence, Bioinformatics, Systems Biology or similar; experience with multivariate data such as omics or microbiome data; experience in causal inference is a plus able