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econometric analysis and preparing results tables, managing large data sets, handling spatial data, applying machine learning algorithms, conducting computationally intensive statistical analyses, summarizing
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leading researchers in economics. They will be expected to assemble and manage data sets, to program and simulate non-linear models, and to assist faculty members in all aspects of their research. This is a
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computational approaches to tackle questions at this interface. We are particularly interested in candidates with plans to develop a research program involving mining of large-scale data and/or cancer prevention
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events, including large-scale campus events, international conferences, and dedications and other donor recognition experiences, ensuring their success through a key set of objectives; also oversee
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conversion strategies to ensureaseamless transition toamodern ERP platform. The ERP Solution Architect will collaborate closely with colleagues in the Office of Information Technology and the University's Data
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financial analysis High-intermediate to advanced Excel, including work with large data sets, tables, sources; and use of data-checking and -matching techniques Familiarity with other Microsoft Office
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data sets, to program and simulate non-linear models, and to assist faculty members in all aspects of their research. This is a one-year term position with the possibility of renewal for a second year
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and opportunities within the portfolio Perform a broad array of real estate related duties and assignments in the daily oversight and management of a large-scale, mixed-use, institution-owned real
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report directly to the faculty and the JRCPPF associate director. Responsibilities PRIMARY DUTIES Clean, synthesize, and analyze data. Produce empirical analysis and more sophisticated statistical models
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We are seeking a talented and highly motivated postdoctoral researcher to support the research and development of high field superconductors and superconducting magnets. The large bore, high field