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available within the Department of Medicine, Division of Endocrinology in the Laboratory of Brain Behavior and Big Data at the University of Southern California. The applicant with work with PI and
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USC’s Information Sciences Institute (ISI), a unit of the university’s Viterbi School of Engineering, is a world leader in the research and development of advanced artificial intelligence
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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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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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genotypic information with neuroimaging phenotypes for research questions in neurology, psychiatry and developmental neurobiology. Through the Laboratory of FMRI Technology (LOFT) and Laboratory of Neuro
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letter, curriculum vitae and the names and contact information of three references to zhaoxiaq@usc.edu. Successful candidates will be offered competitive stipend/health insurance commensurate with
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letter, curriculum vitae and the names and contact information of three references to zhaoxiaq@usc.edu. Successful candidates will be offered competitive stipend/health insurance commensurate with
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USC’s Information Sciences Institute (ISI), a unit of the university’s Viterbi School of Engineering, is a world leader in the research and development of advanced artificial intelligence
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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
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, recruiting participants, collecting and analyzing the data from multiple sites, writing research articles, and disseminating project outcomes. The ideal candidates would be highly motivated individuals with a