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to staff position within a Research Infrastructure? No Offer Description PhD Position in Physics-Informed Machine Learning for Cardiac Magnetic Resonance The CMR Zurich group at the Institute
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at the interface of machine learning, statistics, and live-cell biology. The position is co-supervised by Prof. Olivier Pertz (Cell Biology) and Prof. David Ginsbourger (Statistics), and the student will be equally
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dynamics simulations is highly desirable. Basic knowledge of machine learning is considered an advantage but is not mandatory. LanguagesENGLISHLevelExcellent Additional Information Work Location(s) Number
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library. Strong interest in machine learning, reinforcement learning, and fluid dynamics. Ability to work independently and collaboratively in an interdisciplinary team. Excellent command of English, both
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are offering a PhD position and a position for a postdoctoral fellow. Project background The project RadiantDx is a multidisciplinary, collaborative project that addresses the diagnosis of sepsis. Sepsis is a
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prospect to obtain a PhD degree from ETH Zurich Multifaceted, applied work in a larger team with computer scientists and clinicians/microbiologists From bench to bedside: develop technology and methods
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combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real-world energy applications, the project aims to better capture the dynamics of urban infrastructures
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the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc in Machine Learned Semiconductor Material Properties for Quantum Transport Simulations The simulation
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systems, and space applications. We combine theory, physics-based simulations, machine learning, and autonomous workflows to understand and design materials that can perform under conditions where
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100%, Zurich, fixed-term The Chair of Strutural Mechanics and Monitoring at ETH Zürich seeks to appoint a highly motivated PhD candidate for a fully funded, international doctoral position within