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Field
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mathematics and physics-enhanced machine learning . Requirements Master in Informatics, Mathematics, or a related field (e.g. Computational Science/Engineering) Strong knowledge of machine learning, Scientific
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
CRISTAL mission Impact of rain-on-snow events and/or slush on ice thickness and snow depth retrievals Development of products relevant for northern communities Your Profile Master's degree in engineering
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Oettingen in Bayern, Bayern | Germany | about 2 months ago
experimental laboratory research. The successful candidate will become part of the DKFZ International PhD Program (https://www.dkfz.de/en/career/international-phd-program ) and will work in a highly
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), we work in a dynamic and international team of over one hundred materials scientists, chemists, physicists, mechanical engineers and technical staff on the development of advanced energy converters and
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for candidates with: A strong BSc and MSc degree in computer science, machine learning, mathematics, physics, engineering, or a related field Strong foundations in machine learning and deep learning Experience
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-riparian zone-stream connectivity at the reach-to-catchment scale. A novel experimental design is used to identify hillslope subsurface stormflow and to track its physical and chemical signatures during
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topics of education, culture, management/technology, sustainability and state. Its international study model with the Leuphana College, the Leuphana Graduate School and the Leuphana Professional School is
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
conference and journal papers Your profile Masters, Diploma or equivalent degree in mathematics/statistics, IT/computer science, physics, computation biology, biomedical engineering or related scientific
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for evaluating long-term transformation paths Your Profile Excellent master`s degree in engineering, materials science, industrial engineering, energy systems, or a comparable field of study Strong interest in
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master's degree or diploma in physics, applied mathematics, or a relevant engineering discipline Strong motivation for an interdisciplinary project that combines numerical models, simulations, and machine