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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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-grained activity detection using electromyography sensors as input. Supplemental input modalities will include inertial sensors (IMU). The research will focus on machine learning-based signal processing and
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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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proprioceptive technologies, and controlling the hand through sophisticated control algorithms and machine-learning techniques. Job description The doctoral research will be multidisciplinary, involving
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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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Interaction, Augmented Reality) The Sensing, Interaction & Perception Lab at ETH Zurich is looking for another PhD student. Our research will be focused on multi-modal signal processing for learning-based
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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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student position (100%) in Computer Vision for 3 years on the topic of offline to online conversion of historical handwritings within the SNSF-funded research project 'Egrapsa: Retracing the evolutions