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valuable hands-on experience and learn important skills for their future. This is why we’ve created an ecosystem where students (Bachelor, Master, and Doctoral students) are encouraged to ideate, build
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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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master’s degree preferably in Computer Science, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with
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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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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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that integrate machine learning with energy system optimization to make such policy optimization possible. The analysis will include policies for EV adoption, EV charging infrastructure, and electricity pricing
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machine learning principles. The project aims at training and learning using both bottom-up and top-down approaches with applications to cardiac image synthesis, reconstruction and classification
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We are seeking a highly motivated and interdisciplinary Postdoctoral Researcher to join our team in developing a cutting-edge nutrient prediction platform. This project integrates machine learning
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data processor. Collaboration: Engage actively with an international team of scientists, engineers, and partner institutions. Communication skills and the ability to work collaboratively are essential
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experience with computer modelling, (e.g. agent-based modelling), as well as good grasp of machine learning, forecasting techniques, scenario planning, optimisation, Python and GIS. Good knowledge of English