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-completed PhD (within the last 0-5 years) in field of materials science, chemistry, chemical engineering, or a related field A research background in energy storage systems Experience with in-situ and
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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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and engineers across Argonne, including the Materials Engineering Research Facilities (MERF) and the Argonne MXene Innovations (AMI) program, while collaborating with industrial and academic partners
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, presentation of results at conferences, and production of peer-reviewed publications. Position Requirements PhD in chemical engineering, chemistry, electrochemistry, materials science, or a related field
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Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of chemistry, geochemistry, chemical engineering, physics, materials science, or a closely related field Strong experience with
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well as in industry and at other national laboratories. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years)in Engineering or similar program. At least 2
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fabrication facilities Access to the Center for Nanoscale Materials (CNM) Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in physics, electrical engineering, materials
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it in Physics with a focus on accelerator physics, or Electrical Engineering with a focus on RF/Accelerator Physics Strong background in accelerator physics and beam diagnostics. Excellent problem
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years) in physics, electrical engineering, materials science, or a related discipline Demonstrated experience with superconducting devices or similar quantum/low-temperature technologies, particularly
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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