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                decision process for sustainable transport modes and transport innovations. Research is interdisciplinary involving behavioral economics, psychology, neuroscience, computer science applied to the transport 
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                through computer simulations and/or experimental validation. The PDA is expected to actively disseminate results through publications in high-impact journals and presentations at leading international 
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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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                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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                -computer interaction, and responsible AI. The project aims to investigate how bias emerges in data pipelines and AI systems, understand the design and development decisions that propagate social biases, and 
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                . This involves the development of mathematical models for signal transmission/reception, derivation of performance limits, algorithmic-level system design and performance evaluation via computer simulations and/or 
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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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                research team working at the intersection of machine learning, algorithmic fairness, human-computer interaction, and responsible AI. The project aims to investigate how bias emerges in data pipelines and AI 
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                on representing the structural response Physical experimental testing for structural and geotechnical applications Data acquisition and processing from monitoring systems Validation of modeling results against 
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                decision process for sustainable transport modes and transport innovations. Research is interdisciplinary involving behavioral economics, psychology, neuroscience, computer science applied to the transport