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will be able to define which signatures (such as trace elements in an atmosphere) can be explained by abiotic processes, and which would indeed need some form of extraterrestrial life, leading to a new
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degree / double degree programme Yes Description/content The key elements of life, such as carbon, oxygen and nitrogen, are continuously exchanged between land, ocean and atmosphere through processes known
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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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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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semesters Beginning Winter semester Application deadline Please visit https://www.uni-muenster.de/Baccara/application/index.html . Tuition fees per semester in EUR None Combined Master's degree / PhD
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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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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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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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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
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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