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Description The New York University Abu Dhabi Computational Approaches to Modeling Language (CAMeL) Lab seeks to hire a post-doctoral researcher to work in any of the lab research areas, to be
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Research / Post-Doctoral Associate in the Division of Science Computer Science, Dr. Djellel Difallah
machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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mode of accretion, providing insights into the conditions required to launch jets. The main objective of the research program of the PI is to uncover the nature of relativistic jets and understand
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, Saadiyat Island, United Arab Emirates [map ] Subject Area: Mathematics Appl Deadline: none (posted 2025/04/08) Position Description: Apply Position Description The Mathematics Program in the Science
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Description The Center for Artificial Intelligence and Robotics (CAIR) at New York University Abu Dhabi invites applicants to apply for the open Postdoc position in the Project Collaborative Multi
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the safety and robustness of human-robot interaction. The postdoc will work on projects focusing on one or more of the following: Learning-Based Control: Developing reinforcement learning, imitation learning
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Sabri. The Mathematics Program at NYUAD is quickly expanding, the candidate will find many international experts and postdocs with whom to interact. Weekly seminars are in place across the various
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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
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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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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