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(https://cpac.hep.anl.gov/ ). The successful applicants will join a new project in collaboration with Argonne’s Computing, Environment, and Life Sciences (CELS) Directorate, focused on an effort to make
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Argonne National Laboratory in Lemont, IL is seeking a Postdoctoral Appointee in the Materials Science Division in Computational Materials Chemistry and Machine Learning. The postdoctoral researcher
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qualifications: Ph.D. (completed within the last 0-5 years) in applied mathematics, physics, chemistry, computer science, or similar fields. Experience contributing to scientific software in C++, Python
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The Center for Nanoscale Materials (https://www.anl.gov/cnm) at Argonne National Laboratory (Chicago, US) has an immediate postdoctoral opening in the use of computational modeling and machine
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contribute to optimization of reactor and fuel cycle design. In this position, the candidate will develop computational methods and/or computer codes to model the physics and engineering of reactor and fuel
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Our mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with
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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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We invite interested candidates to apply for a Postdoctoral Appointee position on scale-up science for emerging technologies, with a primary focus on electrochemical technologies for upgrading CO2
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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