111 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"Department-" positions in Switzerland
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, engineering, computer science, or a related field. Experience with inverse problems and 3D reconstruction methods for tomography, laminography, or a closely related modality. Strong scientific programming in
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their plan, which is based on predetermined routes, lines, and scheduled times, with little possibility of adjusting to unplanned and unexpected circumstances. On the other hand, delays and disruption
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their plan, which is based on predetermined routes, lines, and scheduled times, with little possibility of adjusting to unplanned and unexpected circumstances. On the other hand, delays and disruption
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candidate has strong analytical skills and programming experience in Matlab, Python, C/C++, or equivalent, and is able and/or eager to develop and implement signal-processing algorithms in such a programming
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field validation, operational testing and adoption. You will report to the Managing Director of ETH Swiss GeoLab and work closely with other GeoLab mission teams, the Research Program Support team
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programming (Python, GIT, etc.) strongly preferred Basic cleanroom experience preferable Excellent technical problem-solving skills Open-mindedness, communication skills and critical thinking Willingness
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, normalizing flows, VAEs, generative transformers, or related methods. Strong programming skills and experience with modern deep learning frameworks. Experience with large-scale model training, distributed
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processes and documentation for future regulatory development Profile An MSc or BSc in Electrical Engineering, Embedded Systems, Computer Engineering, Robotics or a related discipline Strong C/C++ programming
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, the Research Program Support team, and the Geo-Intelligence team and external partners. You will define priorities, milestones and decision points, lead mission delivery and will have the authority to prioritize
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-year PhD position is funded by the NCCR CLIM+ program ( NCCR CLIM+ — Climate Extremes and Society ), financed by the Swiss National Science Foundation. NCCR CLIM+ supports Switzerland in