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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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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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-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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such as Neural network vulnerabilities and defenses, Anomaly detection, Adversarial machine learning, Computer vision, and Autonomous Robots is desired. The successful applicant will work on various
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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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Associate to join our team. The ideal candidate will have a strong background in robotics, machine learning, and computer vision, with a focus on developing advanced robotic systems. You will be responsible
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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