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during the trans-catheterization process. They will characterize the surface modifications of implants using microscopy techniques, including Scanning Electron Microscopy (SEM) and Atomic Force Microscopy
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processes for the recovery of minerals from desalination reject brine. The role will involve development of a range of mineral extraction processes and the lab and pilot scale. This will include development
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related techniques. Demonstrated ability to prepare, process, and analyze polymer samples. Familiarity with experimental design, data analysis, and maintaining laboratory instrumentation. Excellent
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processing algorithms for joint communication and sensing. Analyze experimental datasets, extract statistical models, and compare findings across environments, hardware, and frequency bands. Collaborate with
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Scanning Calorimetry (DSC), High-Performance Liquid Chromatography (HPLC), and related techniques. Demonstrated ability to prepare, process, and analyze polymer samples. Familiarity with experimental design
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prioritize candidates who specialize in Artificial Intelligence (AI) and Machine Learning (ML), including but not limited to areas such as deep learning, natural language processing, computer vision
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of the Water Research Center. The successful applicant will lead an innovative project focused on the development of hybrid processes for the recovery of minerals from desalination reject brine. The role will
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to recruit a research assistant to develop AI-enabled healthcare applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from
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. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines and
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policy. Actively participate in curriculum development, student engagement activities, and quality assurance processes. Support in-sessional academic English needs across the campus community. Collaborate