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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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: 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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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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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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take place in the week of the September 8. If needed, the second interviews will be held shortly after. A reference check will be part of the application procedure. Please indicate in your CV or letter of
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. Your competencies We imagine that you: have a background in digital signal processing and machine learning. have substantial experience with scientific computing in Python and ideally also MATLAB. have
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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
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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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academic Chair, where we interface robotic technologies with the neuromuscular system to improve movement. We apply artificial intelligence, computational modelling and biological signal processing, in a