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100%, Zurich, fixed-term The Swiss Seismological Service (SED ) at the Department of Earth Sciences at ETH Zürich invites applications for a fully funded 4-year PhD position in Machine Learning
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, …). Successful candidates should have: Solid working knowledge of software tools and environments for application deployment, optimization, and performance analysis Background in modern machine learning models
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candidates should have Solid working knowledge of software tools and environments for application deployment, optimization, and performance analysis Background in modern machine learning models, such as
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novel methods at the intersection of advanced control, optimization, manufacturing science, and machine learning, to create the next generation of sustainable automation solutions for modern manufacturing
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at ETH Zurich. Our mission is to accelerate chemical discovery using digital tools. We predict chemical reactivity and molecular properties using the tools of machine learning, computational chemistry, and
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to validate the concepts The envisioned starting date is October/November 2024. Your profile We are looking for two students with experience (or strong interest to learn) in the topics of: Finite Element Method
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, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out
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tendon systems, incorporating cutting-edge sensing and proprioceptive technologies, and controlling the robot through advanced control algorithms and machine-learning techniques. Job description The
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. Project background Quantum materials exhibit rich phase diagrams, strongly sensitive to external parameters, which include intriguing and technologically relevant properties. Learning how to understand
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considered. In short, promising applicants have built their own physiological sensor before (e.g., PPG, ECG) and custom PCB as part of an embedded device. To learn more about our research, check out our