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Field
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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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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
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, ethics, responsibility in science, and public outreach. Doctoral researchers at the LSM acquire state-of-the-art knowledge of biology and biochemistry and are given a profound overview of the current
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learning. Experience is ideally shown through a thesis, seminar papers, or scientific publications. Alternatively, excellent grades in a respective Master’s course. Additional Support is offered by