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graduate students or interns in computational techniques, reproducible workflows, and best practices in data-driven discovery. Contribute to manuscript preparation, grant proposals, and presentations, with
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than intuition-driven approaches; leverage and expand on the economic models of Romer (endogenous growth and innovation) and Nordhaus (climate economics and integration of environmental externalities
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. The tasks including but not limited to: Battery cell and system level models for both mature off-the-shelf (NMC) and emerging new batteries (solid-state) via a physics-informed data-driven approach. Accurate
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You will develop and validate advanced AI models that integrate medical imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
9 Sep 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United Arab
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-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves
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highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud
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micropollutant degradation. Developing thermal, microwave, or visible light-driven processes for selective plastic depolymerization and pollutant degradation. Investigate reaction mechanisms of plastic degradation
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are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and
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collaborations with researchers across DOE laboratories, academic institutions, and partner agencies to expand the applications of AI-driven coastal wetland modeling to broader environmental challenges. Safety and