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concepts. Project background Creating realistic computational models of biological neural networks is among the most difficult challenges of neuroscience. However, such models could be extremely useful both
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generation of quantum deep neural networks and developing new training algorithms with convergence guarantees. About the University of Basel: The University of Basel is a research university located in
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concepts. Project background Creating realistic computational models of biological neural networks is among the most difficult challenges of neuroscience. However, such models could be extremely useful both
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libraries developed by CERN and its partners to deploy machine learning algorithms on FPGAs. Leading the development of a library for hardware-aware end-to-end training and optimization of neural networks
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computational models of biological neural networks is among the most difficult challenges of neuroscience. However, such models could be extremely useful both in uderstanding how the brain processes and stores
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. Neurorehabilitation in stroke is a complex field, challenged by a limited understanding of the neural mechanisms underlying recovery as well as the lack of effective strategies to target these mechanisms and efficient
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. Competence in the application of Graph Neural Networks would be desirable Teaching experience would be desirable. Your workplace Your workplace We offer The Singapore-ETH-Centre is an equal opportunity and
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implementation of photonic neural network based on the large reservoir of random nonlinear operations; theoretical and experimental investigation of the SPDC process in random nonlinear media and the control
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of beyond Cold and Collisionless Dark Matter simulations. The position will be to leverage physics-informed neural networks to accelerate simulations of Fuzzy/Axion Dark Matter. However there will be
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neuronal networks, iPSC differentiation and cancer biology as well as knowledge of programming tools and data analysis methods are important assets. Being successful in the interdisciplinary field of neural