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Research Assistant Position: Development of Rail Roughness Measuring Technique and Big Data Analysis
on machine tools and in the field of production engineering. Recent topics of research focus on novel technologies such as additive manufacturing, Artificial Intelligence (AI), Machine Learning (ML), Big Data
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, real-time and/or machine learning applications. Working experience in a clinical environment or a medical company. Interest in Neuroscience, brain networks and neurorehabilitation. Excellent
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(or shortly thereafter). Project background The goal of this project is to leverage advanced machine learning to develop an automated design process of mechanical walking aids, analyse gait patterns and
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variability described in the data by means of uncertainty aware calibration and Bayesian estimation Include how experts currently operate and acquire feelings for the machine they are driving, also based on a
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proven by publications in this field Have a good understanding of NMR theory and computer simulations Understand the basics of NMR and EPR hardware Be able to optimize and maintain a home-built DNP system
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construction or related fields Knowledge and experience in data analysis and database management, as well as emerging technologies applied to the construction sector, such as BIM, scanning, machine learning
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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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100%, Zurich, permanent The Institute of Computing Platforms of the Department of Computer Science is a research group focused on computer systems and software systems in general. Currently
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new topics and learn new skills Vaste variety of training opportunities An attractive work place at the heart of Zurich City 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