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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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for graduate school or work in a data science career. Work includes tasks such as conducting advanced econometric analysis and preparing results tables, managing large data sets, handling spatial data, applying
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large-scale AI workflows. Applicants should submit online at https://puwebp.princeton.edu/AcadHire/position/39681 and include a cover letter, curriculum vitae, research statement, teaching statement, and
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in candidates with plans to develop a research program involving mining of large-scale data and/or cancer prevention (even if they have not explicitly worked on cancer prevention before). Candidate
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candidates with plans to develop a research program involving mining of large-scale data and/or cancer prevention (even if they have not explicitly worked on cancer prevention before). Candidate selected will
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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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granular exploration of the sequence of development, investment decision making, financing, and construction activities that are associated with the disciplined allocation of capital to large-scale
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create analytic datasets and perform complex statistical analyses of data, using advanced econometric and other statistical methods. The ability to write computer programs to manipulate information, devise
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events, working with Athletics and external vendors; • Serves as primary facilitator of Halftime Retreat, an off-campus, overnight retreat for sophomores; • Provides large-scale event support includes
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capital to large-scale infrastructure projects by corporations. The analysis is expected to identify key development interdependencies between sectors and assets, which if not addressed, create investment