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have experience in routine molecular biology techniques like Western blotting, PCR, immunohistochemistry and/or microscopy. Experience with electrophysiology or live-cell imaging techniques like calcium
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in AI-modeling, Monte Carlo simulation, and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize
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-threatening infection of heart valves. The postdoc would lead an investigation of bacteria-blood cell interactions using flow cytometry, imaging flow cytometry and gene expression analysis with nanostring
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detections of extreme-weather events and subsurface changes, in the seismic zones that affect Kentucky, or their global analogs, and with near-surface imaging for neo-tectonic investigations and other site
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. The postdoc would lead an investigation of bacteria-blood cell interactions using flow cytometry, imaging flow cytometry and gene expression analysis with nanostring nCounter®. The postdoc would also
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, computer science, biomedical engineering, biology, or other biomedical discipline. Previous research using 2-photon imaging, slice electrophysiology, optogenetics, rodent behavioral analysis, calcium imaging
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
data collection of mammograms, and pathology and radiology images for potential development of a Virtual Tumor Board. The selected candidate is expected to work in a team environment together
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 369938 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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Department Name RADIATION ONCOLOGY Location Code RADIATION ONCOLOGY (06720A) Is this split and/or fully grant funded? Yes Duties and Responsibilities Dosimetry techniques optimization: Accurate dose
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are separate from the natural world – upon an increasingly dominant paradigm in environmental science – social ecological systems, which acknowledges that human social systems are part of natural ecosystems