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(typically mathematics, physics). For Postdoc applicants: Excellent track record in computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming
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fields. What we offer State of the art on-site high performance/GPU compute facilities A team of 30+ expert colleagues A family-friendly, green campus with on-site kindergarten Ample training
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
hold a PhD or equivalent degree in the above mentioned or related fields. What we offer State of the art on-site high performance/GPU compute facilities A team of 30+ expert colleagues A family friendly
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, Human-Computer Interaction, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related
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: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics). For Postdoc applicants: Excellent track record in computer
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to perform theoretical physics research at the interface of quantum information, condensed matter and high-energy physics. A strong background and interest in one or more of the following topics is desirable
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11.04.2025, Wissenschaftliches Personal The research group Cyber-Physical Systems of Prof. Matthias Althoff at the Technical University of Munich offers a PhD/Postdoc position in the area of
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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reduced, maintenance of the systems could be improved, and operational costs could be optimized. To perform this exciting research, we are looking for a highly motivated student or PostDoc who has recently
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06.12.2021, Wissenschaftliches Personal The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation