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consistency checks of macroeconomic indicators Supporting the preparation of datasets for forecasting models, including dynamic factor models, BVARs, and machine-learning-based approaches. Profile To be
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outcomes Working with multimodal embedding models and machine learning methods for content performance prediction Presenting results at international conferences and to partner organisations Contributing
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benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits chevron_right Working, teaching and research at ETH
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. To do so, we combine data from social media, online newspapers and original surveys with causal inference and machine learning methods to bring new evidence to bear on the urgent problems policymakers
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machine perfusion platforms for human and rat liver This will include learning the engineering design, assembly, and operation of the perfusion hardware; developing improved control software and sensor
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and institutions that interact with them. You should bring: A master’s degree in computer science, machine learning, HCI, or a related field. Strong foundations in machine learning and familiarity with
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expertise and interest in machine learning and computer vision algorithms is necessary, with an emphasis on object tracking, optical flow and sensor fusion Knowledge of rock mechanics, soil mechanics and/or
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there are interventions. Interventions, which range from condition monitoring through minor and major maintenance to renewal and expansion, require time, money, machines, and personnel, and they partially block access
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, regressions, and evaluation failures Profile Essential MSc or PhD in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field Exceptional BSc candidates with strong
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30%, Zurich, fixed-term The Professorship for Learning Sciences and Higher Education at ETH Zurich is seeking a motivated student assistant (30%) starting in October 2026. In this role, you will