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offering PhD positions for students with a background in data science, computer science, computational science, or a domain science with a strong focus on computational science, and an interest in training
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Chemistry, Material Science, or a closely related subject with excellent results. You should be highly motivated and have the capacity to work as part of a diverse, interdisciplinary team. Experience in
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of nanostructures in collaboration with partners in RTG 2767 Your profile Above-average university degree (Master/Diploma) achieved in short study period in the field of Electrical Engineering, Material Science
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Master’s degree in Physics, Chemistry or Computer Science, or equivalent Interest in Physics, Chemistry and Machine Learning Good written and spoken English Ability to work both independently and in a team
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available in the further tabs (e.g. “Application requirements”). Programme Description Early-career scientists from all countries of origin and any subject carrying out further research work into the field
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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, their achievements and productivity to the success of the whole institution. At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Robotics offers a full-time
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, their achievements and productivity to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Fundamentals of Electrical Engineering, the Chair of Biomedical
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Engineering (ISSE) is one of the two computer science institutes at Clausthal University of Technology and is home to several research groups. You can find more information about the ISSE Institute on our
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institution. At the Faculty of Chemistry and Food Chemistry, the Chair of Molecular Functional Materials offers within the Collaborative Research Center 1415 (CRC 1415, Chemistry of Synthetic Two-Dimensional