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degree in industrial engineering, operations research, statistics, or machine learning and have a strong research record. • Qualified candidates should have prior research and publications in optimization
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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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on projects aligned with the group and engage in collaborative research. Applications will be considered on a rolling basis. Responsibilities: Develop complex statistical code to extract, clean, manage, and
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Center’s research training. Eligibility Criteria: Scholars who have completed a Ph.D. in a relevant discipline such as economics, public policy, health policy, statistics, medicine, and psychology
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/evaluation Communication -- written and oral skills Conceptualization and design Organization Planning Problem identification and resolution Project management Research Statistical analysis Skills: Machine
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populations. In this position, we are looking for a postdoctoral researcher with strong computational background for method development in population and statistical genetics. The position is funded by an NIH
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identification and resolution Project management Research Statistical analysis Skills: Machine/Equipment: Calculator Computer network (department or school) Computer network (university) Computer peripheral