192 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" uni jobs in Switzerland
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- ETH Zurich
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- CERN
- EPFL - Ecole Polytechnique Fédérale de Lausanne
- Friedrich Miescher Institute for Biomedical Research
- Graduate Institute of International and Development Studies, Geneva;
- Idiap Research Institute
- OTCF (Osteosynthesis & Trauma Care Foundation) Research Grants 2026
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Field
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record Strong quantitative and analytical skills Experimental laboratory experience (e.g., biomedical engineering, neuroscience, chemistry, optics, electrophysiology, or related fields) Programming
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generalization A solid understanding of signals and time-series data (e.g., sampling, frequency, phase, noise, spectral representations, and filtering) Strong programming skills and experience implementing and
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international conferences taking part in the research activities of the Chair and KOF, including regular research meetings and seminars completing coursework within the D-MTEC doctoral programme depending on your
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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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, building infrastructure, mentoring less experienced colleagues, and taking pride in operational excellence. You will not be expected to drive a separate independent research programme; rather, you will
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