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                related field at the PhD degree level with zero to three years of experience or equivalent in the scientific application of this knowledge and practical laboratory experience. To perform the essential 
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                environments. Analyze products for impurity content through techniques such as XRD and SEM-EDS to ensure that products meet sponsor requirements. Communicate effectively with supervisors, peers, and Laboratory 
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                Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in NetworksRequirements Required skills, abilities, and knowledge: Recent or soon-to-be completed PhD (within the last 0-5 years) by the start of the appointment in computer science, electrical engineering, applied 
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                in a team environment. Proven research record, evidenced by peer-reviewed publications and conference presentations. Skilledwritten and verbal communication skills at all levels of the organization 
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                policy, environmental science, 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 
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                (predoctoral) or PhD (postdoctoral) in Materials Science, Chemistry, Physics, or related area is required. Coursework in computer science or data science is desirable. Familiarity with research data management 
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                , signal processing, x-ray science etc. are encouraged to apply. Position Requirements Required Knowledge, Skills and Experience : PhD in a relevant field completed in the past 5 years or soon to be 
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                become part of a new holotomography software package actively being developed by the team. Position Requirements Required Knowledge, Skills, and Experience: PhD (recently completed or soon-to-be completed 
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                are highly preferred. Position Requirements PhD in physics or related field; received within the last 5 years or upcoming year Ability to model Argonne’s core values of impact, safety, respect, integrity, and 
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                ability to scale models using distributed computing environments. Excellent oral and written communication skills for effective collaboration across multiple teams. Commitment to embodying the core values