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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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research with Professor Pauline Corblet and Professor Samreen Malik. The collaborative research will be on labor and education economics with a particular focus on structural models tied with labor market
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
of the S.M.A.R.T. Construction Research Group and Co-PI in the SHORES Center . The successful candidate will also collaborate with researchers and other Investigators from the SHORES Center on project
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emphasize the directed synthesis and structural design of COFs tailored to achieve high selectivity and efficiency in targeted applications. In particular, the candidate will develop COFs engineered
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with NeRF, Gaussian Splatting, or other neural rendering models. Knowledge of 3D reconstruction pipelines such as photogrammetry, structure-from-motion (SfM), or multi-view stereo (MVS). Interest in
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corporate governance, such as organizational policy and strategy, global strategy, competitive analysis, executive compensation, ownership structures, boards of directors, and corporate social responsibility
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, contact angle measurement, CFP, BET, FT-IR, Raman spectroscopy, among others. Lab-scale testing will be performed to establish critical relationships between fabrication methods, structure, properties, and
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is destined to become the cultural hub of the Middle East. It already hosts Le Louvre Abu Dhabi, and several other museums are in construction. The position includes funds for the implementation