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reinforcement learning pipelines for the Apertus project. Apertus is trained and developed on Alps, the Swiss National Supercomputing Centre’s supercomputing infrastructure. The role requires someone who is
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study design, scientific methods, and statistical modelling Python, C# or equivalent language expertise Basic knowledge of machine learning or deep learning Desirable Skills Exposure to musculoskeletal
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sustainability In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and
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systems, and the simulation and learning methods that drive them. Our work is published in journals such as Nature and Science Robotics, and it reaches the real world through industry collaborations and
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to exchange ideas with other doctoral students, receive feedback on the work in progress, and acquire the skills necessary for an academic career. The Doctoral Program also supports its members with
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of their PhD, during which they will develop research proposals for submission to a funding body in order to acquire financial sup-port for the remaining duration of their PhD-projects. The payment of the second
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to learn new methods and troubleshoot technical challenges Excellent written and spoken English communication skills We offer A dynamic and multicultural working environment within an internationally
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sustainability In line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and
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interaction of particles with matter. Behavioural competencies: Learning and Sharing Knowledge: keeping up-to-date with developments in own field of expertise and readily absorbing new information. Building
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Data Science Center (SDSC) is a national research infrastructure in data science, machine learning and artificial intelligence (AI), founded by EPFL and ETH Zurich. Its mission - to enable data-driven