369 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Switzerland
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for mechanical failure. Our team is highly interdisciplinary and international, bringing together researchers with backgrounds in materials science, mechanics, and applied physics. We work across a broad range of
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convince both by their relevance and originality, spanning from blue-sky research to applied science, as well as from fine arts to artistic research. The Collegium also encourages small interdisciplinary
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knowledge and technology from research to Swiss machine, electrical and metal industries. The research group Control and Automation at inspire AG offers the following position in collaboration with Bota
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, with strong expertise in tissue remodeling and regeneration, molecular oncology, genome engineering, functional genomics, metabolomics, and computational biology, providing an ideal setting for impactful
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close collaboration with experimental and clinical partners, and we are embedded in one of the strongest AI and computer science environments worldwide. Learn more about our research and recent work
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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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develop predictive tools for mechanical failure. Our team is highly interdisciplinary and international, bringing together researchers with backgrounds in materials science, mechanics, and applied physics
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. ENDOTRAIN will train a new generation of interdisciplinary experts who merge clinical endocrinology, artificial intelligence, data science, engineering, ethics and law into an integrated field of digital
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their recruitment date. The student will be enrolled in the structured PhD programme of the Department of Mechanical and Process Engineering or the Department of Health Sciences and Technology
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policy, political economy, economics, sociology, computational social sciences, or a related field Strong knowledge of advanced quantitative methods is essential (e.g., econometrics, causal inference