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The Chemical Sciences and Engineering Division invites applications for a Postdoctoral Appointee to contribute to innovative research at the intersection of computational catalysis, quantum
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completed within the last 0-5 years)in chemical engineering, materials science, industrial engineering, or related fields. Knowledge of Python, JavaScript, Microsoft Excel and other computer programming
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PhD (within the last 0-5 years) in field of materials science, chemistry, chemical engineering, computer science, or a related field Experience operating and troubleshooting laboratory automation
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The Chemical Sciences and Engineering Division at Argonne National Laboratory welcomes applications for a Postdoctoral Appointee to join our Polymer Upcycling Team. In this role, you will contribute
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Computational Science and AI Group (CAI) at APS. The successful candidate will have access to Argonne’s exceptional ecosystem of facilities and expertise, including the upgraded APS, CNM’s advanced synthesis and
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The Computing, Environment, and Life Sciences (CELS) Directorate seeks an outstanding scientist to lead and support frontier research at the intersection of AI, autonomous platforms, data
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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 Python programming
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Position Overview We are seeking a Postdoctoral Appointee to join the Computational Science and Artificial Intelligence Group in the X-ray Science Division of the Advanced Photon Source (APS
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: Artificial Intelligence (AI) Quantum Information Science and Technology (QIST) Microelectronics Biotechnology Critical minerals Nuclear fuel recycling Advanced manufacturing Grid-edge technologies While not
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physics, engineering, or a closely related field Experience in experimental physics/engineering, nanofabrication, quantum information science, and/or microwave and superconducting device characterization