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disease on memory processes. Research projects will involve functional brain imaging techniques (fMRI), behavioral measurement, and computational modeling approaches. Opportunities for collaboration within
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and
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set the minimum pay based on prior months of postdoc service (both domestic and international) before the start of appointment. See Table 23 and 23N (Hourly) for experience level minimums. A reasonable
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compliance, reproducibility, and interoperability across scientific domains. By improving data readiness processes, this role will amplify the potential of AI-driven discovery in areas such as high energy
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exploring novel immune cells and the mechanisms of human health and disease. In addition, the Postdoc(s) will participate in lab meetings, research in progress seminars, and presentations at conferences
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to outstanding facilities of Genomics, Genetics, Proteomics, Confocal and high-content imaging, Histopathology, Analytical Chemistry, Flow Cytometry, etc. The position is based in the Gliniak lab
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discipline by the appointment start date. Candidates should also have prior experience with live-cell imaging, genomics, protein expression and purification. Publications on high impact peer review journals
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● Strong background in observational or computational cosmology, large-scale structure, weak lensing or image processing ● Proven experience in scientific programming in Python and/or C++ ● Deep familiarity
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our research
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, the representation and processing of social information in patients with psychiatric conditions remain largely unclear. We use a suite of cutting-edge techniques, including in vivo multi-photon imaging, fiber