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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
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positive evaluation. Data Steward (m/f/d) The Leibniz Institute for Surface Engineering (IOM) is researching new functional and precision surfaces for applications of high societal relevance and emerging
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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To improve the website, the DAAD and third parties set cookies and process usage data . In doing so, the DAAD and third parties transfer usage data to third countries in which there is no level
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spectrometry. ProteomicsDB (https://www.proteomicsdb.org/) is an internationally well-reputed publicly available database that provides information about proteins and other bio-molecules initially centered
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information on the project is available at: https://www.fz-juelich.de/ibi/ibi-3/EN/Research/Neuroelectronics/ImplantableElectronics/_node.html In addition to exciting tasks and a collegial working environment
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/ Doctoral Candidate (m/f/d) Participatory Practices for Fostering Data Agency The position is TV-L E13, 50%, initially limited to 3 years. Applications are reviewed on a rolling basis (first come, first
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. LEAPS investigates how data from learning environments can support agency and social networks in higher education and workplace training. The group is part of the TUM School of Social Sciences and
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. About Us The candidate will be a part of the LEAPS research group (LEarning Analytics and Practices in Systems) led by Prof. Dr. Oleksandra Poquet. LEAPS investigates how data from learning environments
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reciprocal suitability, severely-disabled applicants as defined in SGB IX will be preferred. For further information, please contact Ms. Arya Das at a.das.leibniz-lsb(at)tum.de . To apply, please submit your