308 engineering-computation-"https:"-"https:"-"https:"-"https:"-"UNIV"-"UNIV" positions in Switzerland
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, Biostatistics, Software Engineering, Systems Operations, and Screening & Lab Automation. Embedded in this multi-disciplinary environment, the Clinical Bioinformatics group translates computational biology into
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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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with the ability to work across multiple projects in a collaborative academic environment. We are looking for someone with: Master’s degree in aerospace engineering, electrical engineering, computer
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dynamical systems, and machine learning, with applications to synthetic biology and biomolecular circuit design. Our research develops mathematical and computational frameworks for understanding and
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implementation strategy to drive the LIFE Space Mission to successful launch and operations. To support the mission concept study, we opened two positions in Optical Engineering. Project background LIFE brings
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links to the ETH AI Center and the Reliability and Risk Engineering Lab . Job description Collaborate with other researchers to develop high-fidelity emulators for large-scale, energy system optimization
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The ETH Zurich technology platform NEXUS Personalized Health enables discovery and translational research for personalized health. We offer a broad range of expertise across Clinical Bioinformatics
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The ETH Zurich technology platform NEXUS Personalized Health enables discovery and translational research for personalized health. We offer a broad range of expertise across Clinical Bioinformatics
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. It fosters research excellence, industry innovation, and AI entrepreneurship. You will collaborate closely with other research scientists and engineers to transform cutting-edge research into robust
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100%, Basel, fixed-term The Laboratory for Biological Engineering (Prof. Randall J. Platt) at ETH Zurich in Basel, Switzerland develops technologies at the interface of biological engineering