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required. The candidate should demonstrate a solid experience in practical AI/ML system development. Additional knowledge on MLOps, robust/secure computing, Hallucinations and Alignment, privacy-preserving
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collaboration between multiple research groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling
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Junior Research Scientist in the Center for Quantum and Topological Systems (CQTS) – Dr. Hisham Sati
systems. The successful applicant will Performing interdisciplinary research in quantum systems within the projects of the center and in alignment with its goals, in collaboration and coordination with
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growth. The Lecturer is expected to teach three courses with multiple sections throughout the academic year, with a commitment of three meetings per week. The Lecturer will work closely with the Executive
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multiple institutions within and beyond the NYU Global Network, as well as local stakeholders and private companies across the UAE and abroad. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is
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academic and cultural experiences while also giving them a sense of personal accomplishment and growth. The Lecturer is expected to teach three courses with multiple sections throughout the academic year
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and sustainable future. CITIES leverages the expertise of faculty members from the four Divisions of NYUAD and world-renowned scientific collaborators from multiple institutions within and beyond
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members from the four Divisions of NYUAD and world-renowned scientific collaborators from multiple institutions within and beyond the NYU Global Network, as well as local stakeholders and private companies
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multiple sclerosis, autism spectrum disorders, dyslexia, and schizophrenia, as well as diabetes and obesity. This project investigates the neural correlates of Speed of Processing and its subcomponents
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and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures