170 phd-in-computational-mechanics-"FEMTO-ST"-"FEMTO-ST" Postdoctoral positions at NEW YORK UNIVERSITY ABU DHABI
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. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval
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: Ph.D. in Electrical Engineering, Computer Science, Operations Research, Applied Mathematics, or related fields Strong background in game theory, mechanism design, control systems, and/or learning theory
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. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include: Strong foundation in one of the following areas: Machine Learning / Information Retrieval
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technologies. The candidate should have a PhD or MSc in Computer Science or a closely related field (BSc holders will be considered in justified cases). Relevant background and skills include: Experimental
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Researcher (R3) Country United Arab Emirates Application Deadline 6 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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Mechanics, Civil Engineering, or Mechanical Engineering. Applicants are expected to demonstrate research experience in the fields of computational mechanics and computational geomechanics. Preferred
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experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants
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infrastructure inspection and vibration monitoring Successful candidates must hold a PhD degree in Civil, Structural, Mechanical, or Material Engineering. Other related field such as Computer Science, Nuclear
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Arab Emirates Application Deadline 10 Dec 2025 - 00:00 (UTC) Type of Contract To be defined Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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: Ph.D. in Electrical Engineering, Computer Science, Operations Research, Applied Mathematics, or related fields Strong background in game theory, mechanism design, control systems, and/or learning theory