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society. Proficiency with Google suite of products, MS office, publishing software, social media, etc. Ability to analyze and work with a large volume of student, employer and related data. Ability to work
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Associate position in a federally-funded laboratory. Applicants must have an MD, PhD, or equivalent. The research will utilize large animal (porcine) models of vascular diseases. No prior experience with
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tailored to model brain activities in health and disease, using Generative AI approaches, processing of structural and functional MRI data, and compiling and organizing large brain imaging repositories
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(AMOC). The work will involve climate modeling, analyses of observational and GCM data, and analytical approaches. A PhD in physical oceanography, atmospheric sciences or related disciplines is required
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to existing and/or develop and lead major, highly-visible career development programs and events for PhD students and postdocs like PhD Pathways, Humanists at Large, and Navigating Career Uncertainty. Create
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data science, machine learning, computer science, statistics, or related highly-quantitative discipline with five (5) years of experience; or PhD in data science, machine learning, computer science
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Research to implement complex, large scope research projects. The researcher will implement and maintain data management systems including Qualtrics for gathering data and other University approved platforms
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spatial scales from atmospheric chemistry, aerosol particles, air pollution, cloud particles, with radii of microns, to large-scale atmospheric waves, with length scales of thousands of kilometers. Topics
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they do their jobs. Our work ranges in scope from the close-up investigation and examination of security data, to the assessment of large, enterprise-wide networks, to analyzing the cybersecurity of SoSs
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responsible for integrating large datasets including viral, bacterial and immunologic data, to answer important questions regarding the influence of viral populations at mucosal surfaces to human health