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position, it is funded for up to 24 months, as a PhD position for 36 months. Remuneration is in accordance with the German public tariff scheme (TV-L Brandenburg), salary group E 13 (75% PhD position, 100
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position, it is funded for up to 24 months, as a PhD positionfor 36 months. Remuneration is in accordance with the German public tariff scheme (TV-L Brandenburg), salary group E 13 (75% PhD position, 100
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a Focus on Data Science: A master’s equivalent university degree with above average grades and a relevant doctorate/PhD (e.g. in cognitive science, data science, learning analytics, or a related field
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part of an (international) team, and excellent command of English (mastering the German Language is not required). Specific Requirements A PhD in history, digital humanities, cultural studies, philosophy
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assessment, programming and machine learning. If so, we encourage you to apply! You will develop exposure and physical vulnerability maps for past and future (1970-2100) and integrate these into a flood risk
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 21 days ago
Contribute to advancing the MiROS technology from prototype to real-world application Your profile PhD (or MSc with strong experience) in electrical engineering, physics, biomedical engineering, computational
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 29 days ago
results in peer-reviewed publications and at international conferences Your Profile PhD in oceanography, marine sciences, physics, geosciences, climate sciences or related field Experience in ocean
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, Physics or a closely related field. Completed PhD in one of the above or a closely related field. Strong background in Machine Learning and Artificial Intelligence, including interest in alternative
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Job description: DESY The CMS Quantum Computing group develops generative machine learning models for detector simulations, specifically the simulation of showers in calorimeters: Proof-of-principle
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at international conferences. Your profile PhD (degree or almost completed) in Physics, Applied Mathematics, Complex System or a related field. Strong background in mathematical modeling, machine learning