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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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hypothesis generation in finance / natural sciences / physical sciences, enhancing collaborative workflows in complex organizational settings. Qualifications: Applicants must have a PhD in Computer
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implement innovative solutions. He/she will contribute to the development of novel concepts and proposal writing, while efficiently addressing complex challenges. Responsibilities will include writing reports
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complex sociotechnical systems Strategic learning and equilibrium-seeking algorithms in transportation networks Game-theoretic approaches to cybersecurity and security games Integration of human behavior
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adaptable object handling in complex real-world scenarios, including those involving deformable objects and uncertain conditions.. Semantic Navigation & Mapping – Designing solutions for robot navigation
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the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal
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Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents
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discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in machine learning, interact with an international network of collaborators, and
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networks Expertise in physical layer and MAC layer design for wireless systems Proven track record of publications in relevant IEEE journals and conferences In addition to the above qualifications, it is
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interaction, adapt to new tasks, and generalize across environments. Dexterous Manipulation – Advancing robotic grasping, in-hand manipulation, and adaptable object handling in complex real-world scenarios