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Description The Data Science and AI Lab at New York University Abu Dhabi (NYUAD), led by Associate Professor Talal Rahwan, invites applications for a Postdoctoral Associate in Computational Social
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for one year and may be extended, subjected to performance and availability of research funding. Key Responsibilities: Develop state-of-the-art and innovative models and algorithms to improve port and
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Department of Computing Senior Research Fellow / Research Fellow / Postdoctoral Fellow / Research Associate (Full-time/Part-time) / Research Assistant (Full-time/Part-time) (Ref. 260908017) (1
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that important physical properties are fulfilled in the numerical solution. Ultimately, PANum will lead to a computational algorithm that reliably simulates two-phase flow. The postdoctoral project will be part of
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experience in power electronics, switching strategies, and control algorithms • Strong knowledge of power electronics, drives, and control is highly preferred. • Experience with hardware testing and real
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a sequential decision-making process explored through computational simulation and deep multi-objective reinforcement learning. The project will investigate a simulation platform that reproduces
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to the development of remote sensing algorithms, simulation and modeling capabilities, and artificial intelligence/machine learning (AI/ML) methods in support of the goals of the joint NASA/USGS Landsat mission
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of algorithms for medical image analysis. The successful candidate will investigate computational complexity, stability, and numerical summaries of multiparameter persistence, as well as applications to medical
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algorithms to improve the performance of scientific applications Researching digital and post-digital computer architectures for science Developing and advancing extreme-scale scientific data management
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, operational, and societal constraints. The postdoc will work at the interface of reinforcement learning and computational epidemiology, focusing on the development of new reinforcement learning algorithms