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Required Knowledge, Skills, and Abilities: You are qualified for this role if: You have earned a Ph.D. in physics, electrical engineering, material science, chemistry, chemical engineering, or a related
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components developed by a collaboration of the C-AD scientific, engineering, and technical staff. The C-AD supports an international user community of over 1,500 scientists. The C-AD performs all
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materials science, polymer science, chemical engineering, chemistry, physics, or a related discipline within the past five years or will complete this degree prior to starting the position. You have
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, machine learning, and domain science area. Position Requirements: Required Knowledge, Skills, and Abilities: Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics or related disciplines
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, materials science, or a related field (e.g., chemical, or mechanical engineering) awarded within the last 5 years. Strong research experience (e.g., evidenced by publication record). Research experience in
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., engineering, applied mathematics, statistics, physics) awarded within the last 5 years. Strong theoretical understanding and practical experience in deep learning-based machine learning or natural
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, Chemistry, or a related engineering discipline, conferred within the past five (5) years or to be completed prior to the starting date. Demonstrated experimental expertise in ALE and ALD processes
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Apply Now Job ID JR100550Date posted 03/25/2024 The High Energy Theory Group (HET) has active programs in many areas of theoretical particle physics. There are strong efforts in neutrino physics, Beyond the Standard Model phenomenology, precision calculations for the LHC and intensity frontier,...
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beyond the group on new potential collaborations. Required Knowledge, Skills, and Abilities: ● Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics, physics
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genetics, microbiology, immunology, virology, or a related field Demonstrated experience in cell/plant culture and protein production through over-expression. Proven abilities for dissemination of research