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, data analysis, and modelling, in collaboration with the University of Southampton and the National Physical Laboratory (NPL). With a background in Materials Science, Physics, Chemistry, or Engineering
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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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, sustainable materials, or engineering to contribute to our ongoing research on improving the hygrothermal performance, structural modeling, and durability of CLT, including hybrid and thermally modified wood
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
. These frameworks integrate IoT-enabled sensing and real-time analytics to support continuous monitoring, data-driven evaluation, and predictive maintenance. The work also address user comfort and indoor
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Lifetime Prediction as per January 1st, 2026, or as soon as possible thereafter. The position is available for a period of two years and six months. In electronic engineering, Aalborg University is known
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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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, 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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. 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