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is a plus Requirements Additional Information Website for additional job details https://www.hipeac.net/jobs/14573/phd-position-on-secure-machine-learning-on-ri… Work Location(s) Number of offers
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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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in this PhD will focus on developing robust machine learning algorithms for signal processing and time series analysis. These algorithms are designed to detect specific events and detailed activities
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physical validation. You will regularly present your work at international robotics and machine learning conferences. Your responsibilities will also include supervising bachelor and master students in
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collaborate with other PhD students working on muscle technology, manipulation, control, and machine learning. The output of the PhD thesis will significantly contribute to the advancement of musculoskeletal
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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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Raman spectroscopy and mass spectrometry-based proteomics, along with cutting-edge machine learning approaches, to enable timely identification of high risk for the chronic wound formation Coordinate
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100%, Zurich, fixed-term Thesolid-state NMR research group in the Departement of Chemistry and Applied Biosciences is looking for a PhD student on the topic of pulse-sequence optimization based
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). The PhD dissertation project will focus on how to experimentally capture hypothetical ductus (stroke order and direction of writing) reconstructed by experts and to design deep learning pipelines as
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position in Solid-State NMR Thesolid-state NMR research group in the Departement of Chemistry and