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dynamics and large-scale numerical modeling of semiconductor laser arrays at the College of Optics and Photonics (CREOL), University of Central Florida. Our research program investigates collective
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thermodynamic and kinetic models into an alloy design framework (including material properties models) that uses numerical optimization methods to rapidly screen for promising compositions over vast multi
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Optimization: Resolving hardware-specific performance and numerical precision challenges across diverse GPU environments. Architecture Design: Leading the design of new loss functions, model architectures
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> on research projects related to kinetic equation and its related multiscale model reduction, numerical method, and data-driven/machine-learning approaches, including: • Numerical simulation of kinetic
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CFD Experience with low fidelity modeling of aerodynamics Experience with numerical optimization Proficient in Python and the various numerical packages Ability to work both independently and as a
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, numerical method, and data-driven/machine-learning approaches, including: · Numerical simulation of kinetic equations: fast algorithms with stability/convergence analysis; · Data-driven and machine
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knowledge of iterative learning control theory with applications to industrial systems Excellent foundation in linear algebra, numerical methods, optimization, and control theory Background in online
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Mathjobs.org | 25 days ago
analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas, together with research experience in at least one class of modern generative models, are
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analysis, numerical analysis, sampling methods, optimization, scientific computing, or related areas, together with research experience in at least one class of modern generative models, are
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. These algorithms will support large-scale numerical, scientific, and AI models. The researcher will also disseminate findings through publications and presentations in top-tier peer-reviewed journals