62 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at NEW YORK UNIVERSITY ABU DHABI in United Arab Emirates
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experience is a plus. Programming Skills: Strong experience with MATLAB and/or Python; experience with C++ for high-performance signal processing is a plus. Experimentation: Proven experience developing
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of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or experimental means. The PDA is expected to actively disseminate results through publications in
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
performance and ground risks in variable and uncertain geologies. The researcher will be embedded in a team that spans infrastructure resilience, computational geomechanics, and data-driven risk evaluation. The
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Description As part of the Electrical Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J
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students, conduct high-quality “innovative and independent” experimental, analytical, and/or computational research, publish research work and results in scientific peer-reviewed journals and conferences
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Description The Robotics and Intelligent Systems Control Laboratory (RISC) at New York University Abu Dhabi invites applicants to apply for the open Post-doctoral Associate position to perform
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rolling basis until the position is filled. A starting date earlier than fall 2026 is also possible. Applicants must hold a PhD degree in Mathematics, statistics or theoretical computer science. The terms
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candidate is expected to take a leading role in the development of the group tasks and help in supervising PhD students. Applicants must have a PhD in theoretical high energy physics or related field
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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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Engineering, Computer Science, Applied Mathematics, or related fields Strong background in control systems, machine learning, and scientific computing Programming proficiency and experience with simulation