4 postdoctoral-machine-learning Postdoctoral positions at University of Central Florida
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have expertise and experience in executing density functional theory (DFT) calculations, microkinetic modeling, kinetic Monte Carlo simulations, and Machine learning methods. Minimum Qualifications: Must
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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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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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independent postdoctoral fellows with training and expertise in agent-based modeling, neural networks, social network analysis, machine learning, data analytics, computational economics, or computational social