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translational research involving multimodal neuroimaging analyses, statistics, machine learning, and/or glucose metabolism are preferred. Education and Experience Requirements: PhD in neuroscience
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, statistics (including spatial statistics), and in mapping and visualization. The ideal candidate will also have demonstrated capabilities in research project management and the ability to communicate research
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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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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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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