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to computational materials, mechanics, or related fields Proven ability to work collaboratively in an interdisciplinary research environment and mentor graduate students. Experience with high-performance computing
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candidate will perform research activities and provide advanced scientific and technical support for existing projects with a primarily focus on determination of growth parameters for the creation and
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-performance computing systems (,e.g., SLURM) Familiarity with population genomics, GWAS, or related approaches Experience with large biological datasets Proven ability to communicate scientific information
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fluorination chemistries, and the development of high-performance materials through both top-down and bottom-up approaches. Candidates should be prepared to broaden their expertise across multiple material