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part of the newly established Plant Immunity Research Initiative (PIRI) aimed at studying devastating diseases that threaten the bioenergy crops and designing resilient bioenergy crops and innovative
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scientific facilities: The CFN conducts research on nanomaterial synthesis by assembly designing precise architectures with targeted functionality by organizing nanoscale components. The CFN researches and
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optimization. Basic knowledge of integrated circuit design, including digital simulation and logic synthesis. methods, and other related topics pertaining to fast AI model inference. Experience working in
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inversion methods, relevant to co-designing of interference EUV masks. •Implement appropriate AI/ML methods. •Perform coherent x-ray scattering, imaging and lithography experiments to validate and improve
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data science Reporting the scientific results in academic papers and talks Required Knowledge, Skills, and Abilities: PhD. in Physics or related discipline. A good understanding of the physics of quantum
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. Other Information: Candidates must have received a Ph.D. by the commencement of employment. This is a 2-year term appointment BNL policy requires that after obtaining a PhD, eligible candidates for
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-loss-spectroscopy is highly desirable. - Demonstrated quantitative data analysis abilities. - Effective communication skills. BNL policy requires that after obtaining a PhD, eligible candidates for
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Candidates must have received a Ph.D. by the commencement of employment. BNL policy requires that after obtaining their PhD, eligible candidates for research associate appointments may not exceed a combined
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on performance and funding Candidates must have received a Ph.D. by the commencement of employment. BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not
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employment. BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or