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knowledge and technology from research to Swiss machine, electrical and metal industries. The research group Simulation and Metrology at inspire offers in collaboration with ETH Zurich the following position
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experience CH/EU/EFTA citizenship or a valid Swiss work permit Master’s degree (ETH, university) in engineering, mechatronics, computer science, or a related field Experience in machine learning, signal
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of machine learning and optimization methods in manufacturing. We aim to create intelligent systems for process parameter selection, condition-based maintenance, and human-machine interaction. Job description
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science journey, from the collection and management of data to machine learning, AI, and industrialization. The Center comprises a multi-disciplinary team of data and computer scientists and experts in
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in deformation monitoring using point clouds, development of new measurement systems, and advanced geodetic data processing using classical approaches and machine learning. We look forward
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understanding and practical experience with machine learning approaches for biomarker discovery and predictive modeling, specifically with hands-on experience in developing and applying neuronal networks
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members of the Computational Mechanics Group and develop it further from both the theoretical and the computational point of view. Job description You will have the unique opportunity to learn, develop and
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to machine learning, AI, and industrialization. With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen), the SDSC provides expertise and services to various
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Publication list Contact details of two refereesPlease send your application to [nicola.serra+sinergia@uzh.ch]. Further information about [Department of Mathematical Modeling and Machine Learning or Department
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informatics, especially chronic disease management (with emphasis on asthma) Machine learning / deep learning / artificial intelligence Profile Ideally, the candidate has a degree in Electrical Engineering and