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well as the accomplished research project BOTTOMS-UP. Depending on your skills and preferences, Artificial Intelligence (Machine Learning) can be used for predicting aspects of forest biodiversity based on existing as
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are considering different profiles for this position. An ideal candidate is A: A research scientist holding a PhD in physics or astronomy, with a strong background in software development and machine-learning
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system design. We employ advanced computational methods, machine learning, modeling, and custom hardware and software to continually test our solutions in various real-world industry projects. In one
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degree in Machine Learning, Data Science, or Biomedical Informatics. 5+ years of experience in software product development and management, preferably in healthcare or life sciences. Proven ability
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that combine situated ethnographic detail with deep knowledge of cultural and political contexts and histories, ideally in a cross-national comparative perspective. You can learn more about the research
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research facilities You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits Working
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is to leverage advanced machine learning to develop an automated design process of mechanical walking aids, analyse gait patterns, and make biomechanical simulations embedded in the generative
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of computationally efficient data-driven control and machine learning methods that enable deployment on edge devices with limited computation. We are looking for a motivated doctoral student to contribute
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, or HCI methods familiarity with adaptive systems or machine learning prior experience conducting user studies Beneficial background in computational interaction or adaptive systes knowledge of optimization
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transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare and attractive pension benefits Working, teaching and research at ETH Zurich We value diversity and