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Harvard, Yale, UC San Francisco [UCSF], and the New York Genome Center) to co-design experiments and generate novel datasets, including exome/genome sequencing of hundreds of thousands of individuals, large
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release and accumulation locally in the diseased intestinal tissue. Pivotal proof-of-efficacy will be demonstrated in a large animal model of intestinal inflammation with a focus on ileocecal inflammation
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classifying large volumes of patent documents into architectural categories. The research assistant will help construct high-quality training data through manual review of selected patents and will implement
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Harvard, Yale, UC San Francisco [UCSF], and the New York Genome Center) to co-design experiments and generate novel datasets, including exome/genome sequencing of hundreds of thousands of individuals, large
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, public opinion polls, women’s rights legislation across US history and comparatively, and the role of masculinity norms in the retreat of men from employment and family. The pre-doc will use large data
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, public opinion polls, women’s rights legislation across US history and comparatively, and the role of masculinity norms in the retreat of men from employment and family. The pre-doc will use large data
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exceptional opportunity for a well-qualified and talented individual to play a leading role in a large interdisciplinary and cross-institution project. AI.RDN+ is unique in its aim to be at the forefront
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of Minnesota. U-Spatial is a nationally recognized model that provides consulting services and drives a fast-growing need for expertise in Geographic Information Systems (GIS), Geographic Information Science
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research methodologies Proficiency in statistical analysis software (Stata) and knowledge of R analytics and large data processing Familiarity with academic research ethics and protocols Requirements
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at conference Skills and experience in project management Experience of working with large data sets Excellent attention to detail in communication, data management and reporting results. Strong interpersonal