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software tools The development and validation of machine learning and artificial intelligence models focused on representing the structural response Physical experimental testing for structural and
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control subjects and patients through collaborations with Cleveland Clinic Abu Dhabi to develop and test the “phenotypic fingerprint” method. This approach is inspired by large ongoing studies including
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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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. Strong background in membrane science with demonstrated expertise in either membrane fouling or electrochemical membrane technologies. Experience with membrane fabrication, testing, and characterization
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel excavation and ground response (e.g., geotechnical centrifuge testing, lab-scale TBM experiments
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durability. The candidate will also be responsible for the development and testing of high-performance concrete systems, such as Engineered Cementitious Composites (ECC), using RMC as a complete replacement
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include algorithm design, prototype implementation (e.g., in Matlab/Python), deployment (to the agents’ autopilots using the Robot Operating System), and experimental testing (on unmanned vehicle swarms). A
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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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or Python) is required. Experience with large-scale concrete testing, modeling, and simulation (e.g., COMSOL, Abaqus) is a plus. Familiarity with AC impedance spectroscopy, electro-mechanical impedance, wave
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collaborations with Cleveland Clinic Abu Dhabi to develop and test the “phenotypic fingerprint” method. This approach is inspired by large ongoing studies including the UK Biobank and the Human Connectome Project