76 computer-science-programming-languages-"Prof"-"Prof" Postdoctoral positions at Argonne
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limited to, ATLAS at CERN, the South Pole Telescope, and the Simons Observatory. The candidate is also expected to work closely with computational experts at the Computational Science (CPS) division
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characterization (e.g., XAS, XPS, Raman, DEMS) Proficiency in data analysis; familiarity with modeling or data science tools is a plus Excellent written and oral communication skills and the ability to work
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artificial intelligence/machine learning (AI/ML). The successful candidate will contribute to the group’s broad physics program, which includes precision Higgs and Standard Model measurements, and searches
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Science, Chemistry, Chemical Engineering, Electrical Engineering, Computer Science, Physics, or a related field Demonstrated proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow
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(CO2) conversion processes and contribute to engineering design of upscaled processes. The candidate will be a part of the Applied Materials Division (AMD) within AET at Argonne and will contribute
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challenges, develop innovative solutions, and implement practical strategies. Strong interpersonal, written, and oral communication skills. Experience with molten salt systems, actinide chemistry, or materials
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Argonne’s Nanoscience and Technology Division seeks a postdoctoral scientist to advance transmission electron microscopy (TEM) studies of materials and interfaces relevant to microelectronics
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) or equivalent experience in a computational science discipline, computer science, or in a related field Strong programming skills in one or more scientific programming language, such as C++ and Python Experience
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, written, and oral communication skills. Experience with molten salt systems, actinide chemistry, or electrochemistry is desired, but not mandatory. Experience working safely with hazardous materials in
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Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites outstanding candidates to apply for a postdoctoral position in the area of uncertainty quantification and