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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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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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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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projects or employment). Your profile You have outstanding experience in Machine Learning with a PhD degree from a university in Computer Science, or related fields, with a proven track record in machine
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strategies to design pulse sequences for high-resolution solid-state NMR under magic-angle spinning and static DNP in close collaboration with two PhD students working on these topics. The efficiency
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are lookingfor outstanding, highly motivated individuals interested in pursuing a PhD in the multidisciplinary and important research area of modelling and optimisation of magnetic components and electric machines
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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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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 The Optical Nanomaterial Laboratory in the Physics Department at ETH Zurich is looking for a PhD student in nonlinear optics for analog computing. Project background A