34 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" positions at NEW YORK UNIVERSITY ABU DHABI
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Description The Division of Engineering at NYU Abu Dhabi is searching for accomplished visiting faculty in Computer Engineering to educate the next generation of global leaders. Multidisciplinary
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Description The Robot Learning & Control Lab (REAL Lab) at NYU Abu Dhabi is seeking an outstanding Post-Doctoral Associate to contribute to cutting-edge research in robot intelligence, machine
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of the University’s mission. @WorkAtNYUAD #nyuadfacultycareers Deadline Dec 01, 2025 at 11:59 PM Eastern Time Where to apply Website https://www.timeshighereducation.com/unijobs/listing/399988/computer-engineerin
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Description The Division of Engineering at NYU Abu Dhabi is searching for accomplished visiting faculty in Computer Engineering to educate the next generation of global leaders. Multidisciplinary
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to contribute to cutting-edge research in robot intelligence, machine learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms
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at the Stern School of Business at NYU Abu Dhabi (Stern at NYUAD). We seek scholars/practitioners of the highest caliber equipped to teach courses at the intersections of corporate sustainability and business
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natural language processing and machine learning workflows; (3) experimental design and causal inference (including virtual lab experiments); and/or (4) network or computational modeling. The ideal
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machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven materials discovery, machine learning applications for materials, or generative AI
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primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control. RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering, or