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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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Research. The project is in close collaboration with the Computer Graphics Laboratory at ETH Zürich (Prof. Barbara Solenthaler PhD) who develops a fully virtual infant face and head model. The project will
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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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in the field of production engineering. A further research focus is on novel topics such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data Analysis or Industry
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tools and in the field of production engineering. A further research focus is on novel topics such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data Analysis
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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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relating to computer vision, machine learning and data infrastructure management. Part (50% effort) of this position would also support our work on DeepLabCut - a popular animal pose estimation system https