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computer science and digital technologies. At HPI, you will benefit from close supervision by experienced professors and postdocs, cutting-edge research facilities, and a collaborative academic network, e.g. with
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-funded competence centre for Artificial Intelligence and Machine Learning. It now consists of more than 40 excellent research groups, both in the field of application-oriented Machine Learning and in
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Degree PhD Learning Sciences (alternatively Dr phil, Dr rer nat, Dr med; not recommended for international students) Course location München Teaching language English Languages Courses are held
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08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13
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screening (Ulrike Haug), prevention and implementation science (Hajo Zeeb, Daniela Fuhr), biostatistics, machine learning, data science and research data management, and causal inference methods (Iris Pigeot
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learning is pursuing the goal to collect activities and information on AI in order to explore and shape the rapidly growing field of AI together and to make it accessible to our students entering the field
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international standards in graduate education and is constantly improving its services in line with the needs and interests of doctoral candidates and postdocs. GRADE is to ensure the high-quality provision
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doctoral candidates to teach. Special promotion / funding of the programme Helmholtz Graduate Schools Course-specific, integrated German language courses Yes Course-specific, integrated English language
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disciplines (Master's, "Diplom" or teaching degree) Language requirements Fluency in German or English. If you do not yet speak German, you are expected to acquire basic skills during the first year of
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of the programme include the following: To gather experience in independent planning, management, implementation, and evaluation of epidemiological and public health research projects To acquire comprehensive