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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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The candidates must have received a PhD degree in computer science, computer engineering, data science, high energy physics, or a related discipline within five years of the start of the appointment Experience
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, you must have obtained your PhD in computer science or engineering, the physical sciences, or a related field within the last three years. Comprehensive programming proficiency, preferably in Python
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mechanical/aerospace engineering, applied mathematics, chemical engineering, or a related discipline. Knowledge of multi-dimensional code development for CFD and parallel scientific computing is required
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science, civil engineering, computer science, or a closely related field. Experience with the finite element method. Coding experience in C++ and Python. Skilled in oral and written communications and
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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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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 X-ray Science Division (XSD) at Argonne National Laboratory invites applications for a postdoctoral researcher position to develop novel X-ray diffraction techniques for 3-dimensional imaging
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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