85 mathematics-graph-theory positions at University of Texas at Austin in United States
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, associate, or full professor level with expertise in the area of Constitutional Studies(Law, History, and Theory). Considering the responsibility public institutions of higher education have to prepare
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the acquisition, cleaning, and merging of existing data Quantitative data coding and analysis, including the creation of variables, graphs, figures, maps, descriptive statistics Creation of replicable file packages
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-problem solving. Help with data analysis on a regression discontinuity study related to elementary teacher support in mathematics. Lead writing of manuscript about teacher support in mathematics. Required
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community. Teaching Opportunities Teaching opportunities range from introductory computer science courses, such as data structures, discrete mathematics, and computer architecture, to advanced courses
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, generates reports (charts and graphs), and maintains statistical records. Applies quality control methods to support continuous improvement. Fulfills hiring and invoicing tasks for external contractors and
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acquisition for facility users by analyzing samples. Provide feedback and guidance on theory and practice of imaging mass spectrometry. Engage in collaborative research with faculty and staff researchers, both
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an academic field relevant to civic leadership (political theory, government, philosophy, economic thought, constitutional democracy, etc.) and at least three years of teaching or programs experience
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higher education setting. Demonstrated knowledge and application of student development and leadership theories, models, and frameworks. Experience in supervising student staff. Experience providing
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application of standard principles, theories, and concepts related to technical discipline, and provide solutions to a variety of complex problems. Responsibilities Designs, builds, configures, tests, and
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interdisciplinary programs in computational sciences and engineering, computational medicine, computational geosciences, mathematical modeling, applied mathematics, data science, software engineering, and