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-edge technology on society, using machine-learning in optimizing networks components such as congestion control, and/or innovative usage of generative AI (e.g., stableDiffusion) in Web. The successful
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his team research on deep reinforcement learning, with the goal of making fundamental contributions in new algorithms and publishing in top machine learning venues. The team aims to make progress with
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expertise in these topics are highly encouraged: Quantum Machine Learning, Machine Learning on Quantum Computers, Quantum Circuits for Machine Learning, Quantum Circuits for Topological Data Analysis, Design
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, on topics including (i) Control, Optimization and/or Machine Learning for Sensor-based Robotic Motion Planning and Control and (ii) Autonomous Robotic Systems (Marine, Ground): Complex Multi-body Systems
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University Abu Dhabi (NYUAD), seeks to recruit a motivated Post-Doctoral Associate to work on cutting-edge machine learning / artificial intelligence applications that utilize human signals (e.g. text, audio
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, retrieval calculations, interior convection, machine learning, or aeronomy. Astrophysical research at NYUAD spans a wide range of topics, including astroparticle studies, stellar and planetary physics
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times of Markov chains. Random matrix theory and spectrum of random graphs. Mathematical aspects of machine learning (deep neural networks, reinforcement learning, feature selection, bias and fairness
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and reliability in geotechnical engineering applications (including but not limited to tunnels, foundations, and landslides). Proficiency in probabilistic machine learning and optimization will be
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areas such as hydrodynamics, radiative transfer, atmospheric chemistry, planetary structure, n-body calculations, retrieval calculations, interior convection, machine learning, or aeronomy. Astrophysical
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, retrieval calculations, interior convection, machine learning, or aeronomy. Astrophysical research at NYUAD spans a wide range of topics, including astroparticle studies, stellar and planetary physics