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estimation methods to evaluate and improve housing policy in the US. Prior projects that pre-docs have been involved in include studying the effects of housing foreclosure on homeowners, renters, and landlords
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delivery and transitioning to service operation; able to define and clearly scope out projects. Estimates projects using multiple techniques to arrive at realistic schedules. Clearly highlights methods used
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will focus on the application of new technologies to the solving of public problems. We are particularly interested in computer scientists or social scientists who harness tools of AI, data science, and
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estimation methods to evaluate and improve housing policy in the US. Prior projects that pre-docs have been involved in include studying the effects of housing foreclosure on homeowners, renters, and landlords
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studies, or economic sociology. Strong quantitative skills and experience with large-scale data analysis required. Computer Science/HCI: PhD in Computer Science, Human-Computer Interaction, Information
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required to work nights and weekends Emergency Status Designation - Critical Operations Personnel Physical Requirements: Sitting using near vision use for reading and computer use for extended periods
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multiple and conflicting interests. Ability to work independently with minimal supervision. Ability to handle complex and confidential information with discretion. Competency using a variety of computer
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cleanup for events as assigned based on levels of business. Gathers and maintains data and assists in preparing reports often using a variety of computer software, including Catermate, Word and Excel
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on CDC-recommended vaccines. This position will be based in Cambridge, MA. Work is performed in an office environment with extensive computer and meeting use. During the Summer Program months (June-August
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) Strong programming and quantitative skills, including coursework in multivariable calculus, matrix algebra, probability, and statistics (required) Previous experience estimating econometric models