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subjects of the Computer Engineering program, including Operating Systems, Data Structures, Algorithms, Optimization, Machine Learning, Reinforcement Learning, Computer Vision, and Pattern Recognition, as
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fabrication-structure-property-performance relationships in novel materials for sustainable desalination and water treatment. The candidate will work in a multidisciplinary environment consisting of PhD-level
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addition to research, candidates should demonstrate excellent teaching skills or potential in the core and advanced subjects of the Computer Engineering program, including Operating Systems, Data Structures, Algorithms
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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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, characterization, and applications of sustainable construction materials derived from desalination waste. This exciting research will combine innovations in brine-to-cement technologies with advances in low-carbon
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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