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Neurosciences Computer Graphics and Ecological Informatics Computer Networks Computer Security Databases and Information Systems Data Fusion Data Science Infrastructures Didactics of Informatics Digital
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of geoscientists, biologists, and computer scientists at the Universities of Tübingen and Hohenheim and the Senckenberg Institution of Biodiversity and Earth System Research in Frankfurt, investigating how
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 9 days ago
that are of interest for alkaline water electrolysis, namely the oxygen and hydrogen evolution reactions. The position is to be filled as soon as possible for a duration of 12–24 months, depending on the agreed starting
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
advancing the state of the art in machine learning and its application to biology and medicine, with the ambition to build an internationally visible research group. The successful candidate will have the
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15 Jul 2026 Job Information Organisation/Company RPTU Kaiserslautern-Landau Department Electrical and Computer Engineering Research Field Engineering » Communication engineering Computer
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methods You will work closely with: - Dr. Martin Ramacher (machine learning for environmental applications) - Dr. Matthias Karl (urban air quality modelling and emissions) and collaborate within a project
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from all over the world Continuous support for all professional and social aspects International elements Training in intercultural skills International guest lecturers Language training provided
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algorithms and data structures, machine learning, computer graphics and vision, database systems, artificial intelligence, logical methods, programming languages, computer architecture, and security, to name
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e.g. XRD, Raman spectroscopy, elemental analysis, thermogravimetric analysis, physisorption measurements, zeta potential measurements electrochemical characterization of the samples via cyclovoltammetry
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molecule interaction modeling, polymer physics, and statistical inference to investigate RNA structure, function, transport, and regulatory mechanisms in health and disease. AI and Machine Learning for RNA