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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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of these research will be aimed at enhanced modeling of hydraulic fracturing and carbon sequestration. The project activities will involve the development of the theory and implementation of the advanced mechanics
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presentations at leading international conferences. The PDA is expected to contribute to the intellectual property development through patent filings, as well as participating in standardization efforts relevant
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, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
on clinical use cases of interest, (b) building a tailored health-focused Arabic knowledge interactive language model through the development of benchmark datasets, evaluation frameworks, and specialized LLMs
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the study of the development of singularities, the long-time behavior of complex systems, the formation of spatial patterns, the transition between stability and instability, and the first steps of transition
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(SHORES) and the Division of Engineering, New York University Abu Dhabi, seek to recruit a Postdoctoral Associate to work on a fascinating project focused on the development machine-learning powered digital
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would be for two years with the possibility of an additional year. The successful candidate is expected to take a leading role in the development of the group tasks and help in supervising PhD students
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modeling and simulation to complement physical experiments Preferred) Proficiency in CAD and modeling tools such as SolidWorks for experimental design and apparatus development Additional background in areas
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and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required