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Field
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
-scale neuroimaging datasets. Responsibilities for this position includes: * Developing deep-learning approaches for insight and analysis about mouse behavior from video * Machine Learning: use your
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join a growing space biotechnology team working to understand how microorganisms can support sustainable human space exploration through waste degradation and recycling. Insights gained will also be
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can support sustainable human space exploration through waste degradation and recycling. Insights gained will also be applied to the development of sustainable terrestrial biotechnologies addressing
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
of excellence for outbreak analytics and disease modeling, named Insight Net. This position’s efforts will focus on developing predictive and analytic models of infectious disease and will use dynamic models and
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Engage with policymakers, industrial partners and stakeholders to align project goals and secure off-take and PPA-related insights Pilot and test emerging clean energy solutions using the LREL microgrid as
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
also must be supported by comprehensive and accessible library collections. Again, in research at this advanced level, the bridging aspect of physics provides basic interdisciplinary insight for many
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
also must be supported by comprehensive and accessible library collections. Again, in research at this advanced level, the bridging aspect of physics provides basic interdisciplinary insight for many
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modeling, inference, and compressed sensing. Experience deriving biological insights from large datasets, including mass-spectrometry and DNA-sequencing datasets. Proficiency in Python or another general
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. This 2-year project, funded by the American Cancer Society, focuses on a novel method of T cell radiolabeling and imaging to get an insight into T cell penetration to solid tumors, including brain cancer
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across AI, incorporating insights from algorithm development, systems engineering and architecture, human psychology, sociology, law, science and technology studies, economics, and policy studies. Faculty