73 assistant-professor-and-data-visualization Postdoctoral positions at Duke University
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for diverse social and homeostatic states. The lab uses a combination of circuit-based strategies and custom engineered designs to investigate how social and non-social salient information is encoded in neural
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implementation of strategies to convert noisy tomographic data into high-resolution structures of challenging biomedical targets. Emphasis will be made in the development of scalable strategies required to analyze
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to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a
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surface water dynamics using satellite and field data. This research may also include working with NASA’s new Surface Water Ocean Topography (SWOT) satellite, as well as the opportunity to conduct fieldwork
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to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a
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Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin
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without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, (including pregnancy and pregnancy related
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peer-reviewed journals are required. Experience and expertise in analyzing single-cell sequencing data is preferred. This candidate must be detail-oriented and well-organized, with strong communication
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-throughput genomic screening approaches, primary cell culture systems, and animal models of influenza disease. For more information visit https://mgm.duke.edu/faculty-and-research/primary-faculty/nicholas
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Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race