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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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sequences Have experience with computer simulations and programming Your workplace Your workplace We offer ETH offers an exciting opportunity to work at the forefront of scientific research. Collaborations
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, numerical simulations and experimental implementation of pulse sequences Have experience with computer simulations and programming We offer ETH offers an exciting opportunity to work at the forefront
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100%, Zurich, fixed-term The Laboratory for High Power Electronic Systems (HPE) at the Department of Information Technology and Electrical Engineering of ETH Zurich conducts internationally leading
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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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to exploit the large number of modes supported by the random structure to enable large-scale nonlinear optical operators for photonic machine learning and quantum optics. The former relies on the second
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science, statistics, applied mathematics, or related fields Proficiency in developing and deploying machine learning models (e.g., using Python, R) Experience in data wrangling and feature engineering
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science, statistics, applied mathematics, or related fields Proficiency in developing and deploying machine learning models (e.g., using Python, R) Experience in data wrangling and feature engineering
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from the machine learning domain to improve data analysis You will be responsible for project meetings, reporting, scientific publications, and conference/seminar presentations You will supervise master