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extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology Institute of the German Aerospace Center (DLR). For this international, exciting
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domain. You should have completed your Master/Diploma studies with top grades in Computer Science, Mathematics, Engineering, Chemistry, Physics or a similar subject. Most importantly, you should be
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technology transfer. TUM serves as the host institution for the Future Lab AI4EO, represented by the Professorship “Data Science in Earth Observation” (Prof. Xiaoxiang Zhu). Consistently ranked among Europe’s
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hold a PhD degree in chemical engineering, bioprocess engineering, material science or a closely related field. He/she should have a background in encapsulation and experimental rheology. Good
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) and present your work at top conferences and journals in our field. Candidates should have completed their Master/Diploma studies in Computer Science, Mathematics, Mechatronics, Electrical Engineering
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07.08.2020, Wissenschaftliches Personal Founded in 2019, the new Chair of Materials Engineering of Additive Manufacturing at Technical University of Munich teaches and researches in the promising
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, adversarial attacks, and Bayesian neural networks. Excellent analytical, technical, and problem-solving skills Excellent programming skills in Python and PyTorch including fundamental software engineering
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skills in Python and PyTorch including fundamental software engineering principles and machine learning design patterns. Be highly motivated and a team player with excellent communication and presentation
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networks and their demonstration as proof-of-concept implementation in an experimental 6G testbed. Your qualifications MSc in Computer Science or Electrical Engineering Strong background in networking and
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of Munich (TUM), together with the German Aerospace Center’s Remote Sensing Technology Institute, has created the biggest European research team on AI for Earth Observation (AI4EO) over the past few years