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within any of the relevant disciplines of the humanities, social sciences, and computer sciences are welcome to apply. The ideal candidate is a postdoctoral scholar seeking to examine and develop research
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: The requirements for the applicants include: Ph.D. in Electrical Engineering, Computer Science, Operations Research, Applied Mathematics, or related fields Strong background in game theory, mechanism design, control
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experimental and computational groups within the center. Successful applicants will be highly motivated with an interest in working in theoretical and computational chemistry and have research experience in
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including but not limited to Computer Science, Mathematics, Linguistics, Politics, and Psychology. We welcome researchers across a wide range of domains who will contribute to the creative growth of the CDS
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Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J. Kyriakopoulos seeks to improve the autonomy of Field Robotic
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well as market and organization considerations. Education: Ph.D. in machine learning, computer science, engineering, science or related technical discipline. Experience: Expertise in developing and training AI
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. These projects entail computational modeling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical experiments. CENTMED offers multidisciplinary
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Details Posted: 18-Mar-25 Location: New York, NY Categories: Academic/Faculty Internal Number: 165047 Dr. Marcelo Mattar is hiring a Postdoctoral Associate to develop computational models of memory
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Computer Science, Data Science, Environmental Engineering, or a related field. Experience in deep learning, predictive modeling, and AI-driven decision-support tools. Strong programming skills in Python, TensorFlow
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, computer science, engineering, statistics, or a related field at the time of the appointment; Strong programming experience; Strong interest in the application of machine learning to science and engineering problems