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Field
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knowledge and understanding of scientific theory, in particular social science and statistical methods, when precedents do not provide specific guidance. General instruction provided by the supervisor as
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inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required. Excellent communication skills
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scientific computing, control theory, data science, data driven methods, discrete mathematics, graph algorithms, high-performance computing, integral equations and nonlocal models, linear and multilinear
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University of Southern California (USC) | Los Angeles, California | United States | about 1 month ago
managing and analyzing data. Strong analytical thinking and problem solving skills. Req Expertise in statistics, algorithms, graph-based software. Req In-depth knowledge of the principles and practices
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inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required. Excellent communication skills
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financial) statistics and data analyses techniques. Req Expertise in managing and analyzing data. Strong analytical thinking and problem solving skills. Req Expertise in statistics, algorithms, graph-based
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, and staff. Knowledge of student development theory and practice. Must be adaptable to change and able to work in a team environment while entrusted to complete individual projects, as needed. Must have
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• Relational (deep) learning • Graph neural networks • Reinforcement learning These domains are central to our mission of advancing intelligent systems through principled, data-driven approaches
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Prolog and Java/JavaScript. Knowledge of Semantic Web technologies (e.g., RDF, OWL, SHACL, SPARQL).Desirable Skills Familiarity with argumentation theory (e.g., ASPIC+, Dung's frameworks). Prior experience
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Expertise in statistics, algorithms, graph-based software. Req Biostatistics skills-specific experience with statistical methods for data collection and analysis. Knowledge of healthcare quality principles