308 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs in Germany
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practical experience in machine learning, especially deep learning and its practical application in the domain of language processing and sensor analysis Solid practical experience in the field of natural
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Computer ScienceCountryGermanyCityGreifswaldPostal Code17489StreetWalther-Rathenau-Str. 47Geofield Contact City Greifswald Website http://www.uni-greifswald.de/?L=1 Street Domstraße 14 Postal Code 17489 E
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The Bernhard Nocht Institute for Tropical Medicine (BNITM, https://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany with approximately 420 employees. It is the
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Pandemic Disease in Preindustrial Europe (1300–1800): Combining History, Machine Learning, and the Natural Sciences (EUROpest)”, funded by the European Research Council Executive Agency (ERC) as an ERC
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Technologies at TUM’s School of Engineering and Design is looking for a doctoral researcher (f/m/d) in the area of Collaborative Machine Learning for the Energy Transition. You are passionate about machine
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/) and part of the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https
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command of written and spoken English • Experience with qualitative research methods is an asset • Good knowledge of machine learning /data mining in science • Good programming skills in at least one
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 2 months ago
reports, and communicate results to peers and the public through presentations, writing, and digital media Engage in professional development and acquire new skills as needed Conduct work in both laboratory
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its innovative power and dynamism. Its status as a comprehensive university allows for multidisciplinary learning and teaching and has great potential for internationally renowned, interdisciplinary
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University explores the deep history of tightly intertwined social and environmental processes, in order to explain their long-term developments and to understand how they resonate into the present (https