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materials, solar receivers, and thermochemical reactors. The Post Doctoral Scholar will be supported by a U.S. Department of Energy (DOE) Solar Energy Technologies Office (SETO) funded three-year project
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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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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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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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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
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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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[map ] Subject Area: Mathematics Appl Deadline: (posted 2025/02/17, listed until 2025/08/17) Position Description: Apply 2025/08/17 11:59PM Position Description The Mathematics Department
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for state benefits the employee will be notified directly by People First. OPS positions are not entitled to paid time off. Unless explicitly stated on the job posting, it is UCF’s expectation