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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
and socially sustainable agriculture – together with society. ZALF is a member of the Leibniz Association and is located in Müncheberg (approx. 35 minutes by regional train from Berlin-Lichtenberg
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the application of data science to challenges in (organic) chemistry, with over 15 years of interdisciplinary research. Our data science team develops smart screening strategies and machine learning tools
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develop instrumentation to characterise water in situ on the lunar surface. We are currently involved in several flight instrument developments for the European Space Agency, one of which is the Rover
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digitization. More than 400 employees – including around 100 students – from over 50 countries work at nine locations in scientific and non-scientific teams on the development of innovative methods to accelerate
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of Pittsburgh. This interdisciplinary research aims to advance protein and RNA structural biology and drug interactions by developing and applying innovative ¹⁹F NMR methodologies to study biomolecular structure
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develop processes, technologies, and products for patient-tailored healthcare, a sustainable bioeconomy, as well as a climate-neutral and resource-efficient circular economy, and successfully bring new
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11.09.2025, Academic staff A Ph.D. position is available in the Professorship of Data-driven Materials Modeling to contribute to the development of efficient, certifiable, and practical solutions
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Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: office.cm@mgt.tum.de More Information https://www.fa.mgt.tum.de
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information on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our homepage at https://www.senckenberg.de/en/imprint/ Please visit our
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
interdisciplinary teams, and an interest in research problems related to both data science and the social sciences, broadly defined. Applications must be in English and submitted online via https