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to students pursuing degrees through the doctoral level. More than 20 percent of its 25,000 students are enrolled in graduate course work, studying in disciplines ranging from atomic physics and graph theory
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are looking for strong candidates who would complement and/or strengthen existing research areas in our department (which currently includes discrete mathematics, optimization, graph theory, algorithms
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degrees through the doctoral level. More than 20 percent of its 25,000 students are enrolled in graduate course work, studying in disciplines ranging from atomic physics and graph theory to medieval
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: o Quantitative analysis, e.g. descriptive statistics from survey data, creating basic data visuals such as bar graphs using Excel or other software, OR o Qualitative analysis, e.g. coding
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and interdisciplinary data integration develop new AI-based methods, tools, scripts, ontologies and a knowledge graph based on RTG research results and relevant literature provide methodological support
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combinatorics, discrete and computational geometry, extremal combinatorics, graph and hypergraph theory, probabilistic combinatorics, and their applications to data science, network science, and computer
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learning-based methods and interdisciplinary data integration develop new AI-based methods, tools, scripts, ontologies and a knowledge graph based on RTG research results and relevant literature provide
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, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool
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include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled
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graduate course work, studying in disciplines ranging from atomic physics and graph theory to medieval literature and blind rehabilitation. Of 101 graduate offerings available, 30 lead to a doctoral degree