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(SECM) Corrosion monitoring and prediction using digital imaging, machine learning, and predictive modeling Collaborate with interdisciplinary teams for the design and development of high-performance
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current testing for defect detection and structural integrity assessment Development of advanced NDT methodologies using digital imaging, artificial intelligence, and machine learning for real-time
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Spectroscopy (EIS), Potentiodynamic Polarization, and Scanning Electrochemical Microscopy (SECM) Corrosion monitoring and prediction using digital imaging, machine learning, and predictive modeling Collaborate
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hold a PhD in Urban Development, Computer Sciences or Engineering or related domain but with specialization in Machine Learning and GIS. The candidate is expected to have hands-on experience in fields
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and analysis through machine learning and neuro-optimized techniques. The candidate must hold a PhD in Urban Development, Computer Sciences or Engineering or related domain but with specialization in
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monitoring and prediction using digital imaging, machine learning, and predictive modeling Collaborate with interdisciplinary teams for the design and development of high-performance materials with enhanced
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using digital imaging, artificial intelligence, and machine learning for real-time monitoring and predictive maintenance Collaborate with interdisciplinary teams for the design and development of high
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), Potentiodynamic Polarization, and Scanning Electrochemical Microscopy (SECM) Corrosion monitoring and prediction using digital imaging, machine learning, and predictive modeling Collaborate with interdisciplinary
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systems. An outstanding publication record in biomathematics, biostatistics, machine learning, or related fields. Demonstrated potential for excellence in teaching and mentoring at undergraduate and
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. The successful candidate will contribute to the development of computational tools for metabolomic data analysis, integrating machine learning, bioinformatics, and mathematical modeling to study metabolic pathways