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Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a
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Description Quantum & Spin Lab in the Chemistry Program within the Division of Science at New York University Abu Dhabi (NYUAD), is seeking a highly motivated and skilled Post-doctoral Associate
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Mathematics, Statistics or Computer Science obtained within the last 5 years. Applications are open immediately and will be reviewed on a rolling basis until the position is filled. The position becomes vacant
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, curriculum vitae, research statement, transcript, and contact information for three referees, all in PDF format. Applications will be reviewed on a rolling basis and considered until the position is filled
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perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems This position
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Description The Division of Engineering 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
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systems and the environment under the supervision of Dr. Ahmad Bin Thaneya. The post-doctoral associate will lead collaborative efforts in advancing research focusing on the intersection of infrastructure
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to develop applied research skills in machine learning, interact with an international network of collaborators, and gain post-doctoral research experience. The ideal candidate is self-motivated and can work
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strategies. Design, fabricate, and characterize functional membranes (e.g., conductive, anti-fouling, electrochemical systems). Operate and evaluate membrane systems (RO, NF, UF) at lab and pilot scales. Apply
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involved in the development of open source tools and resources, and to work on publications related to their work. CAMeL's mission is research and education in artificial intelligence, specifically focusing