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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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The Princeton University WET LAB (https://ren.princeton.edu/) is seeking a postdoctoral research associate(s) or more senior researcher(s) with expertise and interest in Large Language Models (LLM
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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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construction activities that are associated with the disciplined allocation of capital to large-scale infrastructure projects by corporations. The analysis is expected to identify key development
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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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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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., geography, urban planning, data science, sociology, public health, emergency management). Ideal applicants will have: *Expertise conducting spatial and statistical analyses *Experience with scientific
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and flow meters. Good mechanical skills, the ability to work with basic hand tools, and familiarity with mechanical drawings and process and instrumentation drawings. Ability to use a computer to make
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and flow meters. Good mechanical skills, the ability to work with basic hand tools, and familiarity with mechanical drawings and process and instrumentation drawings. Ability to use a computer to make
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members. This position supports faculty instructors and graduate AIs in teaching udergraduates in the EEB department's large-enrollment introductory biology course, as well as upper-level EEB lab courses