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to other non-technical audiences on occasion. Profile We are looking for candidates (m/w/d) with the following profile: Master’s degree in computer science, Mathematics, Physics, or similar field (PhD a plus
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have a master’s degree in atmospheric and/or climate sciences, geochemistry, environmental chemistry, physics, computational sciences or a closely related discipline with a strong interest in numerical
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generation of diagnostic tools for quantification of blood flow, organ perfusion, metabolism and function, tissue composition, microstructure and mechanics. The group exploits principles from physics
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degree in physics, computer science, mathematics, computational neuroscience, or related fields. Extensive knowledge of dynamical systems theory. Excellent programming skills in Python. Previous experience
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-ceramic composites in close collaboration with a PhD student at the Biomaterials Engineering Group at ETHZ and the identification of process-structure-property relationships enabling the efficient design
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100%, Zurich, fixed-term The Chair in Nonlinear Dynamics at ETH Zürich is seeking a highly motivated PhD student in the area of data-driven model-reduction for high-dimensional nonlinear physical
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Doctoral School candidates must submit their application file to the doctoral program of their choice within the deadlines specified by the latter. Some programs publish open positions related
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of machine learning and optimization methods in manufacturing. We aim to create intelligent systems for process parameter selection, condition-based maintenance, and human-machine interaction. Job description
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The Pioneer Fellowship Deep-Tech Incubation Program is already a highly successful program for ETH spin-offs and has been running for 15 years. ETH start-ups, on the other hand, are technology companies based
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across a broad spectrum of ETH's academic departments, including biology, physics, engineering, economics, architecture and more. Due to a growing portfolio of projects. we are looking for a versatile