9 parallel-computing-numerical-methods-"Simons-Foundation" Postdoctoral positions at University of Southern California in United States
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of interpretability methods to ensure ML outputs are meaningful in scientific contexts. Preferred: Background in biomedical data, healthcare, or AI for life sciences. Experience with parallel computing. Familiarity
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The Application Specific Intelligent Computing (ASIC) Lab at USC’s Information Sciences Institute (USC’s ISI) invites applications for a post-doctoral position in Silicon Photonics, with a focus on
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; factors contributing to differential heat/pollution effects across population with varying characteristics vulnerabilities; and use of causal inference methods to estimate health effects of hypothetical
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will benefit from exposure to diverse scientific and collaborative opportunities through the USC Institute for Addiction Science (https://ias.usc.edu ) and numerous collaborating schools and departments
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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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evaluates data sources, background information and/or technology related to area of specialization. Analyzes and evaluates research data utilizing computers and provides interpretations requiring significant
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advanced knowledge of equipment, procedures, and analysis methods. Percentage of Time: 100% Fixed Term? Yes If Fixed Term (indicate dates): Through 6/30/26 Minimum Education: Ph.D. or equivalent
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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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adolescents racial coping skills. Applicants should have a completed PhD in developmental, clinical or educational psychology, human development, education, African American Studies, computer science or a