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, experimental studies (in vitro and in vivo), and advanced multiomics data science. We are looking for candidates with expertise or interest in environmental health, biostatistics, and data science, especially as
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complex research projects under the direction of a supervisor. May or may not work independently. Analyzes research data and provides interpretations. Contributes to the development of research
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, actionable research to support community-based organizations, funders, and other stakeholders working towards social, racial, economic, and environmental justice. ERI produces data-driven analysis and rigorous
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will also have opportunities for leadership roles in data analysis and manuscript writing, and will act in a leadership capacity for junior trainees. Training in grant writing can be incorporated as a
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researcher will work directly with Dr. Fei Chen on analyzing data from genetic association studies, which includes GWAS and/or sequencing data from large-scale genetics consortia such as the RESPOND Study, UK
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to support community-based organizations, funders, and other stakeholders working towards social, racial, economic, and environmental justice. ERI produces data-driven analysis and rigorous research to inform
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Computer Engineering within the USC Viterbi School of Engineering. The ideal candidate will have an extensive background in one or more of the following areas: Information theory, structured statistics
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conducting highly technical and complex research projects under the direction of Dr. Oldak. The scholar will also analyze research data, provide interpretations, contribute to the development of research
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generation data-driven stochastic and distributionally robust optimization methodologies or (ii) develop advanced fairness promoting stochastic optimization frameworks. In coordination with Prof. Shehadeh