377 computer-engineer-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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qualifications with a university degree (Master or equivalent) in physics, engineering or computer science Proficiency in computer vision and machine learning with Python Knowledge of X-ray physics and laboratory
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100%, Basel, fixed-term The Computational Biology Group (Prof Dagmar Iber) at D-BSSE develops digital twins of embryonic development using image-based mechanistic modelling and simulation. Project
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, engineering, applied mathematics, or other relevant fields, at least 3 months before the beginning of the fellowship program (latest by June 2027) You have an excellent track record and must meet the general
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dedicated researcher with a PhD in mathematics, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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no fixed deadline, starting date can be any time, the sooner the better. ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent
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artificial intelligence. ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct
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in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120
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characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored sensitivity to size, charge, and etc. • Developing data analysis pipelines and machine learning approaches for signal