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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
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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. Starting in 2022, we will begin