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statistical analysis and modeling techniques such as Gaussian process modeling, data assimilation, and Bayesian analysis; and 4. Open-source scientific software development. Expertise in computational
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Facility (MERF), a pre-pilot-scale research and development facility well-equipped for process development, scale-up, and prototyping. The Postdoctoral Appointee will be responsible for integrating materials
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We invite applications for a Postdoctoral Appointee to contribute to a growing research program in process systems modeling and optimization for clean energy, critical materials, and advanced
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of physical chemistry, inorganic chemistry, computational materials science, or chemical engineering or a closely related field, with demonstrated experience in the scientific application of this knowledge and
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The Postdoctoral Appointee will be part of an R&D group conducting use-inspired research supporting the development of process technologies for next-generation nuclear/chemical/electrochemical
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, computational physics and x-ray science. The appointee will benefit from access to world-leading experimental and computational resources at Argonne including some of the world’s largest supercomputers (Polaris
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the Hadronic Physics Team, part of the Medium Energy Group in the Physics Division, comprising nine staff members, two engineers, and postdocs and students. Our diverse program includes leading electron
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modeling tools to develop and optimize new processes and equipment designs using high-performance computing Analyze data, prepare manuscripts for submission to peer-reviewed publications, prepare technical
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The Multi-Physics Computations group at Argonne National Laboratory is seeking to hire a postdoctoral appointee on the topic of CFD modeling of internal combustion engines fueled by low-carbon fuels
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the last 0-5 years) in fields of physical chemistry or physics Strong background in quantum mechanics, photophysics, and photochemistry Hands-on experience with ultrafast nonlinear optical spectroscopy (e.g