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for a tenure-track position in the Control systems and intelligent decision-making within the Electrical Engineering (EE) program. Emphasis will be given in: a) Machine and Reinforcement Learning
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Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi
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, Computer Science, Engineering, or a related field The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates
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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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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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modeling in smart mobility systems Required Qualifications: The requirements for the applicants include: Ph.D. in Electrical Engineering, Computer Science, Operations Research, Applied Mathematics
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analytical tools such as R, Python, Power BI, Tableau, and Advanced Excel/VBA into module delivery. Design course content and assessment strategies aligned with programme learning outcomes. Provide academic
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September 2025. The successful candidate must have previous research experience (computational and experimental) in the broad area of Nonlinear Mechanics. Applicants must have received a Ph.D. in Mechanical
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will support cutting-edge projects in urban science, computational social science, and usability research. You’ll work closely with our team of Principal Investigators (PIs) to design and implement data
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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