11 distributed-algorithm-"Prof" Postdoctoral positions at New York University in United States
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at New York University Abu Dhabi seeks to recruit a motivated post-doctoral associate with a strong background in game theory, control systems, and/or learning theory to join the research team of Prof
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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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writing C++ and PyTorch. Training and debugging RL agents. Imitation Learning algorithms for robotics or autonomous vehicles. Prior work combining RL with human data or feedback. A track record of code
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position, please email NYUAD Wireless Director Prof. Dr. Murat Uysal at murat.uysal@nyu.edu The terms of employment are highly attractive: a very competitive salary, generous monthly housing allowance, home
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a collaboration with Prof. Justin Cappos and Prof. Brendan Dolan-Gavitt.Candidates will perform work in the Center for Cyber Security (CCS) a multidisciplinary environment. Successful candidates
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on performance (in total not to exceed 5 years). More information about professor Hanan?s lab can be found here: https://wp.nyu.edu/smartlab/ If you have any questions, please email Prof. Hanan Salam
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was established by Prof. Qi Sun (Assistant Professor at Tandon School of Engineering). The ICL is home to a highly collaborative, vibrant group of young scholars, with complementary expertise across theory
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functional devices from novel materials. The successful candidate will work closely with the Faculty Director, Prof. Davood Shahrjerdi, and the Nanofab staff in accomplishing this goal. In compliance with NYC
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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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for an individual to be appointed as a postdoctoral associate under the supervision of Prof. Mark Tuckerman. The research will focus on the use of classical and quantum molecular simulation and machine learning