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Dhabi, seeks a research assistant to join a new lab focused on human-machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine
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and his team to 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
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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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undergraduate student research or junior graduate students. A formal training, education, or certification in a secondary area (beyond the main PhD focus) such as machine learning, artificial intelligence
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to predict traffic flow patterns in urban networks when parts of the network are cut due to inundation resulting from sea level rise (SLR), by using machine learning methods. Using these models, optimal
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experience in natural language processing or computational linguistics/language technologies degrees; (b) strong programming and software engineering skills, and machine learning experience; and (c) some
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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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background in database management, neuroimaging and/or genomics data analytics, and machine learning and artificial intelligence applications. The candidate is expected to have programming experience with
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background in database management, neuroimaging and/or genomics data analytics, and machine learning and artificial intelligence applications. The candidate is expected to have programming experience with