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of existing and emerging networks and communication systems, with a possible starting date in January 2025 (or later). The group’s research builds upon the areas of system, network, information, and computer
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and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university
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Description The Shubeita laboratory in the program of Physics, New York University Abu Dhabi, seeks to recruit a post-doctoral research associate to work on unravelling principles that drive
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interdisciplinary involving behavioral economics, psychology, neuroscience, computer science applied to the transport domain. Responsibilities of the position include building experiments to understand user’s
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Post-Doctoral Associate in the Division of Social Science - Dr. Morgan Hardy and Dr. Veda Narasimhan
. This is an excellent position for candidates entering the final year of a PhD program who are looking to postpone the formal economics job market and build a strong academic record. The position does not
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experimental data. Required Qualifications: A successful applicant must have a PhD in Engineering Mechanics, Civil Engineering, or Mechanical Engineering. Applicants are expected to demonstrate research
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science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university
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a particular topic mentioned above. Applicants should meet the following qualifi cations and possess relevant expertise: A PhD in Computer Science or a closely related field, with specialization in
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. Safe and Certified Control for manipulation: Designing control algorithms that ensure passivity, Lyapunov stability, and safety for human-robot collaboration. Qualifications: Applicants must have a PhD
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Free probability theory High-dimensional probability, concentration and functional inequalities Mathematical aspects of machine learning and deep neural networks Free Probability aspects of Quantum