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teaching in key computing areas, including High-Performance Computing (HPC), Artificial Intelligence and Machine Learning (AI/ML), scientific computing, trusted research environments, storage, and data
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an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our
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interest in contributing to both the conceptual and empirical dimensions of research Proficient in, or willing to learn, programming languages (e.g. MATLAB, Python, R) Experience with one or more of the
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disease progression. However, the mechanisms by which peripheral neural circuits detect changes in tissue state and instruct immune cell function remain poorly understood. The successful candidate will lead
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, 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 dignity of all our staff and
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international events such as the World Economic Forum, GITEX Global, and Berlin Science Week. You can learn more about our research on the CGL Digital Characters page and the Digital Einstein project page
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- learning company-building from inside a live program, alongside our standing network. A pioneering translational research team with a clear path from discovery to drug development. An interdisciplinary
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learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment
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and able to develop model-based methods for experimental design and analysis. You are highly motivated to learn and apply modern experimental and simulation techniques The ability to work independently
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the basis in thermodynamic mixture properties to conceptual process design for chemical plastics recycling, by linking advanced machine learning techniques with high-throughput experimental methods developed