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Completed or soon-to-be completed PhD (within the last 0-5 years) in Computer Science, Physics, Mathematics, or related field Experience with modeling complex systems or natural language processing
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research program in carbon management. The successful candidate will play a pivotal role in nurturing new capabilities that build on our unique strengths, enhancing our research portfolio in this critical
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estimates critical to materials design. In this role you can expect to: Work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National
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, computer science, computer engineering, data science, high energy physics, or a related discipline with 0 to 3 years of experience or equivalent Experience with designing applications that use high
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information science. While focused on this core responsibility, the candidate will be encouraged to explore novel avenues of research that complement and enhance the group’s overall objectives (e.g. spin
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The Chemical Sciences and Engineering Division at Argonne National Laboratory is seeking a Postdoctoral Appointee who, under the guidance of a supervisor, will be involved in determining accurate
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nuclear fuel and cladding materials is essential. Skill in the conception, design, and evaluation of innovative approaches and solutions to quantitative problems is necessary. Skills in the use of computers
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, analytical and physical chemistry, as well as condensed matter physics. They will have the opportunity to work with the computational facilities and advanced instrumentation available at Argonne National
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computing (HPC). Develop accurate and computationally efficient CFD models to simulate the chain of physics and chemistry involved with fuel injection, fuel-air mixing, turbulent combustion, and emissions
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Argonne National Laboratory in Lemont, IL is seeking a Postdoctoral Appointee in our Material Sciences Division. This postdoctoral position is for modeling of neutral and charged polymeric materials