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Field
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large-scale, custom-designed digital signal processing readout system for the ATLAS experiment located at the CERN laboratory in Switzerland. Develop a prototype hardware implementation of different
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experimental phonetics. Applicants should have completed a Ph.D. degree in relevant fields (acoustic phonetics, digital signal processing, computer science) by the time of appointment, and preferably previous
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related field. The ideal candidates will have experience in one or more of the following topics: deep learning for image and point cloud data processing, deep learning for time series data prediction
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. Research Environment The project is in collaboration with two partners: (i) IDCOM at the University of Edinburgh, which develops theory, algorithms and hardware for the next generation of signal processing
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position is part of Professor Lehdonvirta’s Aalto-Oxford joint research group, titled the Digital Economic Security Lab (DIESL) . The multidisciplinary lab comprises both social and computer scientists. The
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Wide Data-Driven Circular Economy of Industrial Robots”. The candidates are expected to have experience with robotics, artificial intelligence, and digital twins. We are looking for candidates who can
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Wide Data-Driven Circular Economy of Industrial Robots”. The candidates are expected to have experience with robotics, artificial intelligence, and digital twins. We are looking for candidates who can
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of Physics Position Overview Development and production of large-scale, custom-designed digital signal processing readout systems for the ATLAS Liquid Argon Calorimeter Upgrade at CERN. Creating and
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: Performs specialized research techniques and procedures related to phenotypic characterization of cardiovascular disease using available signal-based and imaging techniques. Compiles and analyzes data using
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with the neuromuscular system to improve movement. We apply artificial intelligence, computational modelling and biological signal processing, in a translational way, to develop novel real-time bio