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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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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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, 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