39 cyber-physical-system-data-mining PhD positions at Chalmers University of Technology in Sweden
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This is a call for a PhD position in the Data Science and AI division at the Department of Computer Science and Engineering (CSE) , Chalmers University of Technology. The department
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Join a team with an extensive national and international network in metal additive manufacturing! This PhD position at Chalmers University of Technology is a unique opportunity to develop your
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., teaching), which can extend the position to a maximum of five years Please note: Physical presence is required throughout the entire study period. A valid residence permit must be presented by the study
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% departmental duties (e.g., teaching), which can extend the position to a maximum of five years Please note: Physical presence is required throughout the entire study period. A valid residence permit must be
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student, you will be supported by a multidisciplinary team with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected
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, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence
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(masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits in Electrical Engineering, Communication Engineering, Engineering Physics, Computer Engineering or similar, with a strong
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our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel the mechanisms, and time scales involved at particle scale, for the formation and failure
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, and molecular design pipelines to meet pressing challenges in data-driven molecular sciences. The environment is highly collaborative, bringing together researchers from diverse backgrounds who share a
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. The position is placed in the Division for Computer Networks and Systems and is formally employed by Chalmers University of Technology. Our research spans from theoretical computer science to applied systems