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intended for a senior researcher with a highly specialized interdisciplinary profile at the interface of graph theory, combinatorics, exact graph algorithms, molecular graph analysis, cheminformatics, and
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corrosion detection in metallic structures. The position focuses on the development, training and validation of artificial intelligence algorithms for multispectral image processing, with the objective
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of piezoelectric and Weigh-In-Motion (WIM) sensors Electrical engineering and electronics knowledge Program coding and software development skills including Machine Learning and AI algorithms Knowledge, Skills, and
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analysis; (b) machine learning-programming and algorithmic code development; (c) literature review and data search; (d) computational modeling and numerical simulations; (e) literature review and data search
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Department BSD SUR - OHNS: Thirty Million Words - R&D About the Department The TMW Center for Early Learning + Public Health at the University of Chicago develops, tests, and implements evidence
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: Wireless Communications Group: Mobile Systems - Av Work Objectives: Energy-efficient wireless power transfer system using RIS-enabled beamforming and optimized power management algorithms to ensure
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advanced digital technologies, with research spanning fundamental methodological development through to real-world application and evaluation. Key areas include AI, data science, trustworthy and explainable
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 10 hours ago
-Computer Science Job Title Job Category Administrative & Managerial FLSA for Position Exempt Brief Summary of Work for this Position Research Execution & Algorithm Development Collaborate with PIs to execute
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee The project aims to develop robust, intelligent
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relationships between them. Possible directions for the project include (the final scope will be developed together with the candidate, and it is not necessary to cover all topics): Group fairness: developing and