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Field
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the racial justice implications of technology, algorithmic decision-making, and surveillance tools in the criminal legal system and other systems that govern people?s lives; challenging the forces that drive
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of precision medicine by developing innovative statistical genetics methods, implementing state-of-the-art machine learning algorithms, and integrating artificial intelligence to uncover novel biological
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inequality so persistent across organizations from firms to schools and even the government? Does the use of big data and algorithms produce more objective decision making that ameliorates racial inequality
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health and disease, and experience in the algorithms used to analyze these datasets. The appointee will ultimately create an independent research effort with dedicated extramural funding that complements
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the following objectives: 1. Characterize 3-D Urban Structure and Change: Utilize data from multiple remote-sensing platforms and deep learning algorithms to generate high-resolution maps of 3-D urban structure
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topics related to development and macroeconomic behavior. Many of these studies involve the collection of data using computational algorithms and analysis of large-scale survey data, which are combined
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About the role We have an exciting opportunity to join the Rare Genetic Disorders Research Group led by Prof. Stephan Sanders in the Department of Paediatrics at the University of Oxford as a Full
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change how we explore space by developing innovative theories, algorithms, and technologies. Position is contingent upon availability of funds and proper Visa paperwork, to be able to work in US. Position
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and pedagogy. Dedicate time to keep pace with the rapid developments in AI technology (such as, but not limited to, new algorithms, tools, AI-powered educational platforms) and in educational research
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-disciplinary scientists who can use multiple tools and approaches with a desire to advance science at the intersection of management, genetics, and the environment. Research impacts should include improved