13 condition-monitoring-machine-learning Postdoctoral positions at University of Central Florida
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) to obtain reaction kinetics at experimental reaction conditions. Develop and employ machine learning (ML) methods to design catalysts for application in thermal and electrocatalysis. Analyze data and write
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Job Description This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing
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The Opportunity: The Post Doctoral Scholar will be part of a collaborative initiative between the Department of Electrical and Computer Engineering at the University of Central Florida (UCF) and
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-level understanding of kinetics in solid-solid phase transitions; Develop advanced machine learning methods for the fast prediction of materials properties; Publish results in peer-reviewed journals and
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for energy yield prediction. - Develop models for performance loss rate analysis. - Conduct time series analysis and apply machine learning techniques to assess PV and energy storage system performance
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evolution via a novel approach that combines atmospheric modeling and machine learning techniques. The qualified candidate will work with Prof. Ramses Ramirez and colleagues on a project to simulate and make
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Engineering is seeking a highly motivated Postdoctoral Scholar to contribute to cutting-edge research in the development of Machine Learning and Artificial Intelligence (ML/AI) algorithms tailored for Space
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the new FROSTIE lab, aimed at investigating icy planetary surface processes under simulated planetary conditions. The postdoctoral scholar will have the opportunity to research icy geomorphological
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symbolic AI techniques to enhance machine reasoning and inference capabilities. - Publish findings in top-tier conferences and journals. - Manage research projects and support internal/external
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innovation through state-of-the-art interdisciplinary research with social impact, contemporary inclusive teaching and learning practices, and preeminent service for the disciplines, the institution, and the