7 Computer-Science-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "EPFL" research jobs
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be developing new methods for remote sensing. Profile PhD in Computer Vision Background in Computer Science Research experience in 3D Computer Vision, remote sensing and aerial imagery Strong
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Computer Science, Electrical Engineering, or related field. Strong proficiency in C/C++ and Linux Systems Programming . Experience with Embedded Linux and Kernel drivers. Bonus Skills (Nice to have
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user communities Profile Higher degree in computer science or education deemed equivalent; experience in the field Excellent technical knowledge of systems programming, and strong programming ability in
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background, and an outstanding MSc degree in Engineering, Computer Science, Physics, Applied Mathematics, or a related field. You should be proficient in or willing to learn generative deep learning – in
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, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has demonstrated research experience with
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science methods: the European Research Council (ERC) Synergy Grant SnowShifts with University of Oslo (Prof. A. Kääb), EPFL Sion and WSL/SLF (Prof. M. Lehning), and BOKU Vienna (Dr. F. Koch) as PI
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that involve remote sensing of the cryosphere and related data science methods: the European Research Council (ERC) Synergy Grant SnowShifts with University of Oslo (Prof. A. Kääb), EPFL Sion and