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and astroparticle physics. The members of the group are D. Blas, E. Masso, A. Pomarol, O. Pujolas, M. Quiros, F. Rompineve, E.Salvioni and A. Wulzer. Applicants should have a PhD degree in Physics by
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energy system. Qualified applicants must have: PhD degree in physics, astronomy, engineering, computer science or similar. Experience with finite element modeling, ideally Comsol Multiphysics. Experience
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implement pioneering agentic AI workflows for autonomous materials characterization. We are building the next generation of AI-powered laboratories, where intelligent agents can formulate hypotheses, run
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sciences and novel manufacturing techniques is the key to improved heat transfer mechanisms and more efficient use of energy. Approximately 25 colleagues work at the division, including 15 PhD students
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results in the form of scientific publications and by participating in international conferences and workshops. Contribute to supervision of PhD, MSc and BSc students and other teaching activities
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, Toyota Motor Europe, and the Toyota Research Institute. Your work will directly shape the next generation of robots capable of autonomously learning complex manufacturing tasks, with safety
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of mathematics, e.g. participation to public events open to high-school students, or to the general public Your profile PhD of high quality in mathematics, with focus on stochastic analysis and related areas
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that leverages artificial intelligence and large language models to solve fundamental problems in autonomous driving, robotics, verification and validation, and safety problems related to autonomies. You will
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semester Contribution to the outreach activities of the Department of mathematics, e.g. participation to public events open to high-school students, or to the general public Your profile PhD of high quality
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multi-physics modelling, autonomous materials discovery, materials processing, and structural analyses. We also focus on educating engineering students at all levels, ranging from BSc, MSc, PhD