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, computational physics, computational materials science, inverse problems, signal processing, x-ray science etc. are encouraged to apply. Position Requirements PhD completed in the past 5 years or soon to be
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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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computational research in accelerator science and technology. The focus is on developing and applying machine learning (ML) methods for accelerator operations and beam-dynamics optimization in advanced
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chemistry, chemical engineering, physics, computational science, materials science, or related field. Background in synchrotron characterization techniques. Experience collecting and analyzing large
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is typically achieved through a formal education in physics, mechanical engineering, or chemical engineering, or a related field at the PhD level with zero to five years of employment experience with a
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computational materials science aligned with CNM strategic themes and the DOE mission Publish in refereed journals and present at conferences, symposia, and seminars Contribute to proposal development and assist
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, or a related field at the PhD level with zero to five years of employment experience. Technical background in economics with a focus on the mineral and energy sectors. Proven scholarly work or industry
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collaborators. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of experimental physics, engineering, or a related field Effective communication skills, both verbal
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of results at scientific conferences and in peer-reviewed literature. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of interfacial chemistry, or materials
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, instrumentation, modeling, and data science Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field(s) of materials science, physics, computational science, or a related field