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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
: gastrointestinal physiology, organoid culture, mouse models of disease, and/or omics analysis. The candidate should have a minimum of one first-author publication produced during the PhD. Preference will be given
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Assistant, you will play a crucial role in executing and supporting laboratory experiments, working closely with PhD students, postdocs, and senior researchers. Your responsibilities will include, but are not
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involve scientific research; analysis and interpretation of data; daily oversight of the activities of postgraduate and undergraduate project students in the laboratory; communication with other
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gathered from sites in five different languages – English, Spanish, Italian, Korean and Indonesian. This analysis can provide a wealth of information about the characters in a story, the genre, what a story
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We are recruiting two postdoctoral research associates with expertise in mass spectrometry-based protein analysis. You will be embedded in a larger team with another PDRA and a PhD, fully funded by
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specializing in quantitative data analysis to work with our state longitudinal data system. Our data system includes data linked across four state agency partners and allows researchers to evaluate state
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analysis are preferred. Successful candidates must demonstrate expertise in MR Physics, computer programming, critical scientific thinking, and creativity. Applicants will be expected to help develop novel
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Position Details Position Information Recruitment/Posting Title Post-Doctoral Associate Department Engn- Ctr Adv Infrastructure Salary Details Min. Salary 63,968 Offer Information The final salary
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experience in clinical and/or basic research, data collection, analysis, and presentation. Candidates in ABD (all but degree) status will also be considered. Certifications/Licenses Required Knowledge, Skills
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A postdoctoral position is available for highly motivated individuals with a background in Computational Neuroscience to analyze complex time-series data from ongoing 2-photon microscopy experiments