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teaching assistantships, as well as access to state-of-the-art computing infrastructure, laboratories, and research equipment. Working, teaching and research at ETH Zurich We value diversity and
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computing, and could provide a physical route to Ising and Boltzmann machines that operate on dynamical rather than static states. Job description Build and operate a programmable network of coupled
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, applied physics, computational mechanics, scientific computing, or a related field. A foundation in areas such as solid mechanics, contact mechanics, or multiscale modeling is particularly relevant. You
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mechanics, scientific computing, or a related field. A foundation in areas such as solid mechanics, fluid mechanics, dynamics, or numerical modeling is particularly relevant. You have experience
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, representation learning, multimodal learning, multimodal reasoning , domain adaptation, or learning from noisy sensor data Interactive systems: HCI, Mixed Reality, wearable computing, or real-time input systems