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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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learned control policies and neural representations of movement in collaboration with experimental labs Profile Common requirements: PhD (completed or close to completion) in computer science, applied
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specifications, proofs, and verified artefacts Engage with the ARIA programme, including red/blue team exercises and sprint reviews Profile PhD (or nearing completion of) in computer science or a closely related
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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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Engineering, Mathematics, Computer Science, or a related quantitative field A strong mathematical background, including familiarity with optimization, probability, and the analysis of mathematical models A
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international universities. CANDIDATE PROFILE We are looking for a PhD candidate with a strong analytical background and an outstanding MSc degree in Computer Science, Robotics, Chemical/Process
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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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Physics, Optics, Micro-/Nanotechnology, Materials Science, Energy, or a related quantitative field A strong background in several of the following fields: theory of light-matter interaction, computer
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degree in computer science (HES, university, or EPF) or equivalent qualification Good knowledge of containerization and continuous integration tools (Docker, Git/GitLab, CI/CD); familiarity with
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biology, physics, computer science, and engineering. For more information about the Dubochet Center please visit our website: https://dci-lausanne.ch/ . Informations Only applications submitted through