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, Chemistry, or Engineering, you will be an enthusiastic and self-driven researcher able to plan and deliver high-quality scientific work. You will hold (or be close to obtaining) a PhD/DPhil in a relevant
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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that provides data-driven prediction model and an automated dynamic decision model. This is a research focused role, where you will conduct a specified programme of research supported by research
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
9 Oct 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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of interest include: Robot modelling, Nonlinear and Optimal control, Reinforcement learning, and Data-driven modeling and control. The Post-Doctoral associate will be based at NYU Abu Dhabi and will directly
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. The position involves the development and application of high-fidelity computational fluid dynamics (CFD) methods, theoretical modeling, and data-driven approaches to study turbulence, aero-thermo-acoustics, and
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, supersonic, and hypersonic regimes. The position involves the development and application of high-fidelity computational fluid dynamics (CFD) methods, theoretical modeling, and data-driven approaches to study
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overtime for both new and existing technologies and likely challenging the dominant assumption that once a technology becomes competitive in the market policy support can taper off. About us The postdoctoral
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
23 Oct 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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assessing and interpreting uncertainty in deep learning models. As a person, you are curious, self-driven, and enjoy working collaboratively in multidisciplinary research environments. Awareness of diversity