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Field
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The Postdoctoral Appointee will be part of a R&D group conducting use-inspired research supporting the development of next-generation energy technologies such as nuclear fuel recycling and
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calculations to model and optimize heterogeneous catalysts. Conduct simulations to evaluate catalytic performance and reaction mechanisms. Analyze and interpret computational data to understand the interactions
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for critical material extraction, refinement, and production. The postdoctoral researcher will join a dynamic and interdisciplinary team working on federally and industry funded projects aimed at advancing
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(10kHz) as well as standard PIV, LDV, PDA, Raman, Rayleigh and LIF. Computational capabilities include Large Eddy Simulations (LES), Probability Density Function (PDF) and Multiple Mapping Conditioning
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engineering or equivalent field and 0-2 years of research experience. Background in quantitative analysis, mathematical modeling, data science and simulation techniques with expertise in optimization techniques
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optimizing PIC algorithms for modern heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations
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• Uncertainty quantification around LLMs • Constrained optimal experimental design (active learning) • Combining models and combining data / Realistic simulation of clinical trials • Developing
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lasting impact nationally, continentally, and globally by fostering interdisciplinary collaboration and cutting-edge research. Job Description We are seeking a postdoctoral researcher specializing in
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algorithms to develop cybersecurity, optimization, and control solutions for real-world grid applications. Candidates will be required to work in at least 4 of the following areas: Build, simulate, and
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optimizing PIC algorithms for modern heterogeneous architectures, including CPUs, GPUs, and other accelerators, the project seeks to achieve unprecedented efficiency and resolution in plasma simulations