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for Sustainable Energy, researchers from academia and industry develop, implement and evaluate new deep reinforcement learning methodology to solve sustainable energy challenges. Key responsibilities The lab is
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tomorrow’s living environments? And how can we support mutual learning between researchers in the geo-information sciences and societal actors when engaging with an increasingly uncertain and turbulent future
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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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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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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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). 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