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GIS and spatial analysis Data science, data mining, and information retrieval (multi-modal) Machine learning, deep learning and artificial intelligence (Initial) Experience in grant acquisition and
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: Automated tracking of ankle muscle fascicle kinematics in both superficial and deep muscles will allow for the intuitive and coordinated control of powered prostheses following leg amputations. In
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models. Requirements The successful applicants will have: A solid computational background, an interest in cognitive neuroscience a and strong deep learning programming skills. Ability to work in an
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anthropology, sociology). You are eager to engage with fundamental questions about language and technology. You bring solid technical skills and deep, critical understanding that you wield for thoughtful
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). The emergence of data-driven techniques (broadly grouped under the term “machine learning”) challenges the traditional foundations of controls and represents an alternative paradigm that cannot be ignored
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technologies, and performances; LEO-PNT systems, signals, receivers and performance; Deep space navigation systems, signals and receivers for Moon/Mars/Solar System; EGNOS system, receivers and techniques
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(PDT) subsystems including deep space and near-Earth transponders, proximity and intersatellite (ISL) link equipment, high-speed downlink modulators and digital communication equipment. Hereinafter
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(PDT) subsystems including deep space and near-Earth transponders, proximity and intersatellite (ISL) link equipment, high-speed downlink modulators and digital communication equipment; radio frequency
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of Economics, Econometrics and Finance (EEF). The new professor will teach and research in the area of corporate valuation, mergers and acquisitions (M&A) and restructuring. The teaching will mainly be in
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internally, so while you learn the intricacies of our industry, you’ll have plenty of opportunities to contribute and directly affect our bottom line within your first few weeks on the team. While interest in