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seeking a highly motivated doctoral student to study physics- and thermodynamics-informed machine learning (ML) for the mechanics of material failure. The project focuses on learning the effective behavior
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The Data-Driven Mechanics Laboratory is seeking a highly motivated doctoral student to study physics- and thermodynamics-informed machine learning (ML) for the mechanics of material failure
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by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Machine Learning Seismology The Swiss Seismological Service (SED
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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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- Transport Mechanics group and within the scope of a research project funded by SwissNuclear we are looking for a Postdoctoral Fellow for machine learning enhanced multiscale reactive fluid dynamics Your tasks
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The University of Basel (Prof. Aurelien Lucchi) and IBM Research Zurich (Dr. Stefan Woerner and Dr. David Sutter) are seeking applications for a PhD position in Quantum Machine Learning
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libraries developed by CERN and its partners to deploy machine learning algorithms on FPGAs. Leading the development of a library for hardware-aware end-to-end training and optimization of neural networks
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analysis. Within the NGT project, we seek to make best use of Machine Learning (ML) algorithms in this upgrade to exploit the full potential of the upgraded experiment. Responsibilities Develop ML algorithms
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interesting collisions for further analysis. Within the NGT project, we seek to make best use of Machine Learning (ML) algorithms in this upgrade to exploit the full potential of the upgraded experiment
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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