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processes and develop models of material interactions and behavior in molten salt environments. Develop novel and improved methods for measurements of molten salt properties and standardizing procedures
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
mathematics, or a related field Candidates should have expertise in two or more of the following areas: Uncertainty quantification, numerical solutions of differential equations, and stochastic processes
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Postdoctoral Appointee - Investigation of Electrocatalytic Interfaces with Advanced X-ray Microscopy
to the ISAAC data repository by generating AI-ready physical descriptors and advancing data-driven understanding of dynamic catalytic processes. Responsibilities include : Identifying relevant user systems and
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The Chemical and Fuel Cycle Technologies division is seeking a Postdoctoral Appointee to join a multidisciplinary team developing processes to support molten salt reactor (MSRs) fuel cycles
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prototype, benchmark, and evaluate strategies to better support these workloads for Aurora. Position Requirements Required skills and qualifications: A recent PhD (within 5 years) in computer science
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pipelines, including pulse processing (e.g., optimal filtering), pileup mitigation, drift correction, and energy-scale stability. Design, propose, and execute high-impact in-house spectroscopy experiments
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from coal production including coal fines to produce graphite precursor materials. This separation will likely include processes such as froth flotation, gravity separation and leaching. Position
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incorporating the molecular systems for strong light–matter coupling. The successful candidate will: Develop thin-film deposition and cavity fabrication processes, including spin coating, polymer matrix blending
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, integration of other emerging technologies, and interdependencies between power grid, transportation, and water systems. This position may require domestic and international travel. Provides support to develop
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undergraduate students. Postdocs can benefit from strong collaborations with applied mathematicians, computer scientists, device physicists, materials scientists, and statisticians; they will also have access