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in a multidisciplinary research environment. Preferred Experience Experience with MPW runs (e.g., AIM Photonics, GF Fotonix). Exposure to optical in-memory compute or optical AI accelerators
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team engaged in translational environmental health research. Our NIH-funded projects span environmental and molecular epidemiology, computational toxicology employing artificial intelligence
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genetics. Proficiency in one or more programming languages (e.g. R, python), common analytic tools for genetic research (e.g. PLINK, SAIGE, imputation, etc.), and a Unix-based computing environment is
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