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computer programming tools such as Matlab and/or Python. Knowledge of statistics and mathematical modeling. Experience in large spatial data processing, analysis, and interpretation. Experience in running
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Osmosis (FO) — Reverse Osmosis (RO) system. The work of this project includes lab work, computer modelling, life cycle assessment, and techno-economic study. The project will contribute to protecting water
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sciences, or related fields Strong background in hydrology and remote sensing techniques. Proficiency in computer programming tools such as Matlab and/or Python. Knowledge of statistics and mathematical
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seawater desalination using the concept of desalination dilution by integrating a hybrid Forward Osmosis (FO) — Reverse Osmosis (RO) system. The work of this project includes lab work, computer modelling
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parallelism in tensor operations. Collaboration: Collaborate with interdisciplinary teams including computer scientists, statisticians, and domain experts to apply tensor completion techniques to real-world
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, plant phenotyping, precision agriculture or related fields is a plus. Experience with deep multimodal learning, computer vision, and advanced computer vision pre-trained models, Ability to customize and
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scientists, statisticians, and domain experts to apply tensor completion techniques to real-world applications, especially in the case of social sciences. This involves effective communication and coordination