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driven by curiosity about the physical mechanisms that underlie failure and by the ambition to translate this understanding into more reliable and resilient materials and structures. By combining numerical
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strong interest in applying theoretical and computational methods to fundamental problems in materials growth. A strong background in thermodynamics, kinetics, statistical mechanics, solid-state physics
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, outreach, lab activities) within our research group and department Work will be conducted in parallel with a sister study in the Canadian Rocky Mountains (a similar position is being advertised at McGill
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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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algebra, numerical methods, optimization, and control theory Background in online optimization theory and adaptive control theory is a plus Hands-on experience with industrial control systems
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only supports your professional development, but also actively contributes to positive change in society You can expect numerous benefits, such as public transport season tickets and car sharing, a wide
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100%, Zurich, fixed-term The Chair in Nonlinear Dynamics at ETH Zürich is inviting applications for a 100% PhD position in the development and application of nonlinear dynamical systems methods
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modeling, and numerical simulation to understand and control materials at the nanoscale. Project background Nanometer-scale semiconductor crystallites exhibit optical properties (e.g., absorption and
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models or working with Earth-system feedbacks High-performance computing and large-scale numerical simulations Experience working with interdisciplinary datasets and modelling frameworks Candidates with a
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computational mechanics to work on a project in computational earthquake rupture mechanics. The project will combine numerical method development and theoretical analysis to investigate how heterogeneous stress