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of Science and Engineering, a 4-year interdisciplinary PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence. The candidate will become a member of
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languages, artificial intelligence, and security, with a focus on tools and techniques for constructing reliable, efficient, and secure software. General areas of research include: Artificial intelligence
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Manufacturing process for Cold Spray with Artificial Intelligence, operate the AM machine, characterise the materials with scanning electron microscopy and transmission electron microscopy with tensile testing
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equivalent) in Computer Science, Data Science, Artificial Intelligence, Computational Social Science, or a closely related discipline. The ideal candidate has a strong interest in algorithms, machine learning
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Open Date 08/26/2025 Requisition Number PRN42946B Job Title PS Post Doc Res Assoc Working Title Postdoc Research Associate Job Grade A00 FLSA Code Administrative Patient Sensitive Job Code? Yes Standard
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science and energy technologies Basic knowledge of artificial intelligence and data analysis methods Programming skills, ideally in Python Independent and analytical way of working Reliable and thorough
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candidates will be part of the section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP), an active, dynamic research group that combines bold research and a collaborative spirit. The
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collaborators and partners Requirements a Ph.D. degree in physics, and adequate postdoc working experience; strong theoretical/computational background in one or more of the following areas: twistronics & moire
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, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from nonlinear control and optimisation
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, Data Science, or a closely related discipline Strong interest in interdisciplinary research at the interface of Artificial Intelligence, Data Science, and Life Sciences Excellent programming skills