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opportunity to establish a cutting-edge research program with significant impacts in this field. We are particularly interested in candidates who can develop an innovative research agenda in areas such as
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metres, including innovations in all that we do · An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster our
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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qualification program incorporating hybrid lectures, weekly seminars (hybrid and on-site), lab rotations and hands-on training; annual summer/winter schools and complementary skills workshops. TUD strives
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candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules
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suitability for the programme (e.g. demonstrated interest in misinformation studies, journalism studies and/or climate communication research). Essential Selection Criteria · Master’s degree to honours 2:1
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be expected to teach advanced courses in Artificial Intelligence—particularly in machine learning, statistical learning, natural language processing (NLP), symbolic AI, computer vision, and related
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with Informatics and Their Application to Materials R25-11 Self-driving laboratory for materials science Research Environment Support up to 10 million yen depending on the research plan at the time of
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and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50
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) Atomistic classical simulations of macromolecules (v) Biophysics. You can write computer codes to solve some of the daily research problems and have experience with high performance computing. You should have