131 parallel-and-distributed-computing-"Meta"-"Meta" positions at NEW YORK UNIVERSITY ABU DHABI
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Description The Applied Computational Engineering laboratory in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a Research Associate to work on the numerical modeling
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. in Computer Science, Computer Engineering, Information Science, Robotics or any other related field. The position requires experience with at least one of the following: Data Science, Machine Learning
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transcript, and the names and contact details for two references. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in
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network of professional and practical educators to ensure excellence in program delivery. The Managing Director will drive the expansion and impact of NYUAD’s executive and professional education portfolio
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of the above topics. The research assistant will be appointed for a duration of one year, which could be extended. Applicants must have a Bachelor degree in Mathematics, Computer Science, or any other related
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, ECC, SMA) UHPC mix development, material characterization, modeling, and structural design structural 3D printing (metals, concrete, and composites) computational mechanics and structural topology
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Engineering, Computer Science, Applied Mathematics, or related fields Strong background in control systems, machine learning, and scientific computing Programming proficiency and experience with simulation
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independently and take initiative and a desire for learning in a quick-paced environment Required education: Bachelor’s degree Preferred education: Degree related to Social Science or Computer Science, or a
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the position is filled. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences
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projects at the intersection of computational economics and empirical social science. The RA will contribute to several studies, including projects on inflation expectations of firms and households, network