319 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" positions in Switzerland
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. Empa is a research institution of the ETH Domain. Our Laboratory for Advanced Fibers in St. Gallen develops functional polymer fibers for medical and technical applications. Together with partners
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Laboratory is located in St. Gallen at the Swiss Federal Laboratories for Materials Science and Technology (Empa). Our team is highly interdisciplinary and international, providing an inspiring environment
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postdoctoral researcher who is eager to contribute to the translation of fundamental research into clinically relevant antimicrobial solutions. Our offer The Biointerfaces Laboratory is located in St. Gallen
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Doctoral School candidates must submit their application file to the doctoral program of their choice within the deadlines specified by the latter. Some programs publish open positions related
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psychologists, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU
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competitive research program in molecular immunology, with a potential for therapeutic translation. The professorship focuses on understanding how the immune system interacts with diverse tissue environments
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, neuroscientists, computer scientists, clinicians, and data scientists across the Singapore-ETH Centre (SEC), the National University of Singapore (NUS), and Nanyang Technological University (NTU), the PhD student
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Computer Vision and Computer Graphics techniques to digitize human avatars and garments in 3D. Within this project, your role is to advance our existing algorithms that reconstruct 3D garments from multi
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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operations that are yet to be fully understood. In this context, it is evident that the operation, control, and planning of power systems will soon be pushed to their limits. Therefore, new computational