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bodies in both basic and applied research. Working independently or with other scientific staff to deploy simulation or algorithm pipelines on advanced computational infrastructure, such as High
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underlying system Addressing process specific nonlinearities and system-theoretic properties to develop novel control and machine learning algorithms for edge computing Active collaboration with our industrial
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staff to deploy our simulation or algorithm pipelines on advanced computational infrastructure, such as High-Performance Computing systems. As many of the lab members actively contribute together
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seismology, geothermal energy, and geobiology. Access to cutting-edge tools, algorithms, and high-quality seismic datasets. Competitive salary and benefits, including academic development and training
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considered in exceptional cases (e.g. child- or familycare, other projects or employment). Profile You have outstanding experience in Machine Learning with a PhD degree from a university in Computer
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100%, Zurich, fixed-term The Distributed Computing Group is a research group at ETH Zurich. We are interested in various research topics on new and upcoming areas off the beaten path. Our three
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resettlement. The position is part of an innovative project using machine learning and matching algorithms to improve the resettlement process for refugees and asylum seekers. We are developing GeoMatch , a
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. Scientific IT Services (SIS - a section with ITS) aims at bridging the gap between computational research and IT services and infrastructure provisioning. We are working closely together with ETH researchers
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Zurich and the University of Zurich that applies the latest omics technologies for biomolecular research and personalized medicine. The FGCZ Genome Informatics group supports researchers with the analysis
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technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being