8 Computer Science research jobs at University of Southern California (USC) in United States
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University of Southern California (USC) | Los Angeles, California | United States | about 1 month ago
technology related to area of specialization. Analyzes and evaluates research data utilizing computers and provides interpretations requiring significant knowledge of a specialized area of research. Searches
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University of Southern California (USC) | Los Angeles, California | United States | about 2 months ago
of the faculty, students and staff that make the university what it is. The Department of Population and Public Health Sciences and the Institute for Addiction Science at the University of Southern California (USC
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Institute and Laboratory of Neuro Imaging (INI, www.ini.usc.edu ) are world leaders in the development of advanced computational and scientific approaches for the comprehensive mapping of brain structure and
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University of Southern California (USC) | Los Angeles, California | United States | about 2 months ago
and analysis methods. Strong background in molecular and cellular biology is required.Preferred Education:Ph.D. in any area of molecular, cellular, stem cell biology, or computational biology.Preferred
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University of Southern California (USC) | Los Angeles, California | United States | about 1 month ago
. The Lin lab aims to develop faithful in vivo and in vitro cancer models for better understanding of its biology as well as its vulnerability. We are further integrating advanced computational methodologies
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, methods development in MRI, or data mining techniques. The selected candidate will be part of USC Mark and Mary Stevens Neuroimaging and Informatics Institute and Laboratory of Neuro Imaging (INI
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doctoral program with a focus on health policy, public health, economics, demography, sociology, public policy, or a similar discipline. Training in methods/statistics for qualitative or quantitative
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effects, life course/adolescent development, social determinants of health, educational environments, and/or neuroimaging. Strong computational and quantitative background with advanced analytic techniques