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, lentiviral packaging technologies, generation of stable cell lines, and protein structural dynamics. Knowledge of lab skills including tissue culture, western blots, qPCR/RT-PCR, cell sorting/FACS, ELISA, SPR
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
other research. Specifically, the incumbent will conduct collections of epithelial and submucosal gland mucus, perform biophysical and structural characterization, process and analyze tracheal tissues
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translation. The successful candidate will lead innovative projects integrating peptide chemistry, structural immunology, cancer biology, and translational immunotherapy. This position offers the opportunity
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Postdoctoral Fellow positions as part of the NSF AI Institute for Human-AI Cooperation (NSF HAIC) (https://haicinstitute.org/), a $21.5 million multi-institutional research initiative across the University
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the success of our students and the quality of our intellectual contributions to society. For additional information, see http://biology.unt.edu. UNT has a highly diverse campus with a wide range of languages
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protein expression and purification, biochemical screening assay development, computational structural modeling, cell-based antiviral validation studies, and exposure to preclinical small-animal research
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scientific growth, collaboration with experimental and computational researchers, and contribution to high-impact discoveries in structural biology, lipid-protein dynamics, lipid membrane biophysics, and
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thermal signals with high sensitivity and nanoscale spatial resolution, opening access to biophysical structure and dynamics that are difficult or impossible to reach with conventional techniques
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. For more information see: https://medicine.iu.edu/faculty-labs/witczak Successful candidates will have recently completed PhD training, possess a strong background in type 2 diabetes, metabolism, and/or
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. For more information see: https://medicine.iu.edu/faculty-labs/witczak Successful candidates will have recently completed PhD training, possess a strong background in type 2 diabetes, metabolism, and/or