121 data-"https:"-"https:"-"https:"-"https:"-"Gustave-Roussy-" positions at Technical University of Munich
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is on energy modeling, data-driven planning approaches, and the development of innovative data infrastructures for national and municipal energy planning. Candidates should have experience in energy
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applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the Technical University
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05.03.2026, Academic staff The Munich Data Science Institute (MDSI) and the Collaborative Research Center LETSimmun (TRR 338) are jointly seeking a Data Steward (full-time, starting at the earliest
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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27.03.2026, Academic staff The research group Cyber-Physical Systems of Prof. Matthias Althoff at the Technical University of Munich offers a PhD/Postdoc position in the area of safe data-driven
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Academic Staff for the BioSysteM Cluster of Excellence 29.01.2026, Academic staff We are looking for a scientist (m/f/d) with knowledge of data / AI science to set up and lead the AI Core Unit of
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04.12.2025, Academic staff We are looking for an Independent junior research group leader (m/f/d) with knowledge of data / AI science to set up and lead the AI Core Unit of the BioSysteM Cluster
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04.12.2025, Academic staff We are looking for an Independent junior research group leader (m/f/d) with knowledge of data / AI science to set up and lead the AI Core Unit of the BioSysteM Cluster
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University of São Paulo, Brazil. This position focuses on developing advanced computer vision methods and hardware setup for detecting and predicting plant diseases in soybean cultivation. About Us The Chair
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information of TUM. Kontakt: contmech@mw.tum.de More Information https://www.epc.ed.tum.de/ddmm/aktuelles/article/phd-position-in-collaboration-with-bmw-on-data-driven-modeling-of-structural-foams-for-high