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information science and light–matter engineering, while engaging with CNM’s cleanroom and characterization capabilities, APS ultrafast and nanoprobe X-ray beamlines, MSD’s THz initiatives, and Q-NEXT’s national quantum
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and presentation Position Requirements Recent or soon-to-be-completed Ph.D. (0–5 years) in materials science, physics, electrical engineering, or a closely related field Strong background in scanning
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applications. Position Requirements Ph.D in Materials Science, Physics, Chemistry, Electrical Engineering or related field. Strong experimental background in materials synthesis (CVD, PVD) or van der Waals
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. Candidates should have a Ph.D. in materials science, chemistry, physics, electrical engineering or a related field. Position Requirements Ph.D. in materials science, chemistry, physics, electrical engineering
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Recent or soon-to-be-completed Ph.D. in Physics, Materials Science, Electrical Engineering, or a related field Hands-on experience in epitaxial thin-film growth and characterization (oxides preferred
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Qualifications: Ph.D. (completed within the past 0-5 years) in computer science, electrical engineering, applied mathematics, or a related field. Strong proficiency in Python, with additional experience in C, C
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for critical energy and technology sectors. Ability to assess the economic and operational impacts of large-scale AI adoption (e.g., data centers, compute infrastructure) on U.S. electricity demand, generation
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-world problems. Position Requirements Recent or soon-to-be completed (typically within the last 0-5 years) PhD in Electrical Engineering, Industrial Engineering, Applied Mathematics, or a closely related
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the last 0-5 years) in the field of experimental nuclear physics, particle physics, electrical engineering, chemical engineering, materials science, mechanical engineering, or related discipline Ability to
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-be completed (typically within the last 0-5 years ) Ph.D. in engineering, operations research, computer science, applied mathematics, or a related field. Demonstrated expertise in mathematical