22 programming-"the"-"DAAD"-"IMPRS-ML"-"FEMTO-ST"-"UCL"-"U"-"https:" "Prof" positions in United Arab Emirates
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decision process for innovation, collecting neurophysiological and other relevant data, programming and analysis routines, as well as quantitatively analyzing the data collected. Candidates must hold a PhD
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, transcript and two letters of reference, all in PDF format. If you have any questions, please email Prof. Rafael Song at rafael.song@nyu.edu/ . About NYUAD: NYU Abu Dhabi is a degree-granting research
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Description The Division of Science at New York University Abu Dhabi is looking to recruit a post-doctoral associate, starting Fall 2026 to work under the supervision of Prof. Pierre Youssef
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, transcript and two letters of reference, all in PDF format. If you have any questions, please email Prof. Rafael Song at rafael.song@nyu.edu/ . About NYUAD: NYU Abu Dhabi is a degree-granting research
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of recommendation. Applicants are strongly encouraged to outline (in the cover letter and/or research statement) how they plan to contribute to create interdisciplinary connections within the research areas
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decision process for innovation, collecting neurophysiological and other relevant data, programming and analysis routines, as well as quantitatively analyzing the data collected. Candidates must hold a PhD
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three letters of reference, all in PDF format. If you have any questions, please email Prof. Khalil Ramadi at kramadi@nyu.edu . The terms of employment are very competitive and include housing and
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learning theory to join the research team of Prof. Muhammad Umar B. Niazi. The position focuses on the design and implementation of incentive mechanisms for sociotechnical and cyber-physical-human systems
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publication list, statement of research interests, a transcript and two letters of reference, all in PDF format. If you have any questions, please email Prof. Fares Abu-Dakka at fa2656@nyu.edu . The terms
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the research team of Prof. M. Umar B. Niazi. The position focuses on the development of digital twins using physics-informed learning approaches, with specific applications to intelligent transportation