76 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" "Dr" "St" "St" PhD positions at Technical University of Munich in Germany
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access to cutting-edge infrastructure, interdisciplinary collaborations, and an active PhD network spanning multiple institutions in the Munich area • More information: https://syb.cs.tum.de , https://hn
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, environmental economics, agricultural sciences with a focus in economics, or related disciplines - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics
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the research group “Science & Technology Policy” of Prof. Dr. Ruth Müller The TUM Department of Science, Technology and Society announces an open PhD Position in STS at the Technical University of Munich (TVL-E
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physics or theoretical chemistry, with interest in electronic-structure theory and method development. Experience in computer simulations and programming is advantageous. Very good communication and writing
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in cancers of unknown primary (CUP). Your Role You will join Subproject 3 (Model Alignment and Optimization), led by PD Dr. Keno Bressem (https://scholar.google.com/citations?user=wIEgwbkAAAAJ&hl=en
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: friedrich.esch@tum.de More Information http://www.ch.nat.tum.de/pc
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using the model iLand. The work is embedded in the BETA-FOR project (https://www.uni-wuerzburg.de/for5375/) and will collaborate closely with the Forest Economics and Sustainable Land-use Planning group
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: thesis.mhpc@ed.tum.de More Information https://www.epc.ed.tum.de/mhpc
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• Help mentor students, present results within the lab and at conferences, and contribute to manuscript preparation. Your profile • Excellent Master’s degree in Biology, Biochemistry, Molecular Medicine
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-good university degree in economics - strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) - a high motivation and the