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Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in field of physics—ideally in accelerator science or engineering—or a closely related field Demonstrated experience or strong interest
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the possibility of extension to a third year, contingent on performance and available funding. Position Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in physics or a closely related
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-completed PhD (within the last 0–5 years) with strong background in physical chemistry, photophysics, photochemistry, and polariton chemistry Hands-on experience in thin-film deposition, and spectroscopic
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proposed research directions 1-page statement describing your approach to engaging and growing the CNM scientific user program RD2: Bachelors and 5+ years of experience, Masters and 3+ years, or PhD and 0
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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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will require working on-site in Lemont, Illinois, 5 days a week Position Requirements Required skills, knowledge and experience: A recent or soon to be completed PhD within the last 0-5 years Molecular
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Requirements Recent or soon-to-be-completed PhD (within the last 0-5 years) in theoretical physics or a related field (Completed prior to the start date of the postdoctoral position and no more than 5 years
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to contribute to other large-team scientific projects in materials engineering, chemistry, and beyond at Argonne National Laboratory. Position Requirements Required skills: Recently completed PhD (within the last
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contribute to open-source code repositories and documentation. Position Requirements Required skills, knowledge and qualifications: PhD in physical oceanography, coastal engineering, computational science
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, reproducibility, and scalable data understanding Position Requirements PhD completed within the last 0–5 years (or near completion) in Computer Science, Computational Science, Visualization, Human–Computer