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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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letter summarizing their research training and accomplishments, a personal statement of scientific interests and goals, a current CV with recent publications, and contact information for three references
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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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detector 3. Thermo Scientific Vitrobot in a humidity-controlled room 4. Essential tools for cryo-TEM grid preparation and storage High-performance computing resources for cryo-EM data handling/processing
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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