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The Nuclear Science and Engineering Division at Argonne National Laboratory seeks a Postdoctoral Appointee to conduct R&D on metallic materials for extreme environments relevant to nuclear energy
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. Programming expertise in Python or other scientific programming languages is a plus. Excellent oral and written communication skills. Experience with automation, control, and instrument infrastructure. Ability
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, electrical engineering, or related disciplines with strong interest in accelerator and FEL science will also be considered. Strong programming skills including: Proficiency in Python, Working
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camera technology and multiplexed readout systems for quantum information science applications. In this role, you will join a multidisciplinary team spanning several Argonne divisions and contribute to
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is extended yearly. Position Requirements A recent PhD (within 5 years) in computational chemistry, chemistry, materials science, physics, computational science, computer science, engineering, or a
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). • Demonstrated proficiency in x-ray data analysis and instrument control using Python, MATLAB, or equivalent programming languages. Preferred Qualifications • Working knowledge of X-ray optics
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experience applying them to molecular systems. - Familiarity with scientific programming and data analysis using languages such as Python or Julia, and experience with Linux and high-performance
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Argonne National Laboratory to advance learning-enabled imaging methods. This position offers a unique opportunity for candidates with backgrounds in electrical engineering, computer science, applied
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capable computers. The division aims to build lab-wide cross-cutting simulation application capabilities integrating with mathematics, computer science, domain science, and advanced computing architectures
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branches of physical sciences, or in math, computer science, and electric engineering who have an interest in accelerator physics will also be considered. Strong programming skills. Proficiency in the