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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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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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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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publication, an ability to work well both independently and as part of a team, and proficiency in written and oral English communication. Interested applicants could send a single PDF file that includes a cover
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planning, geography, public policy, applied economics, or engineering. The ideal candidate will have background in urban freight research, strong skills in research design, data collection and management
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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