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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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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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, and machine learning. We collaborate with several of them as well as institutions and companies in Switzerland and abroad. chevron_right Working, teaching and research at ETH Zurich We value diversity
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processing computational interaction/human-computer interaction machine learning on time series Key requirements for your application Following the high number of generic applications, please note that: We
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mobility. Another research focus is on solid-state pulse modulators for medical applications (computer tomography/cancer treatment) and accelerators (CERN). For the design and optimisation of the various
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will be involved in developing a new service for circular information management for construction elements and reality capture in existing buildings using computer vision and machine learning. It