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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 7 hours ago
Position Information General Information Position Number POST40 Working Title Postdoctoral Fellow Division Academic Affairs Department Coll of Computing&Informatics (Col) Work Unit Software
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to assess evolving risks in coastal-urban regions. Other key responsibilities include: Mesh design and high-resolution data utilization. Develop and refine high-resolution barotropic ocean meshes along U.S
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surgery, cannulation, and microinjection. Microscopy techniques, imaging techniques, etc. Compile and analyze research data using various relevant computer software applications. Perform administrative
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recombinant approaches to define mutations impacting Staphylococcus aureus biology and pathogenesis using in vitro and in vivo models. ● Document data generated in studies, analyze data with appropriate
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loading conditions. • Develop and validate computational models (FEA/FSI) of cardiac valves. • Integrate experimental data with simulation results to evaluate stress and strain
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cell culture experiments, data & image analysis (using IMARIS & GraphPad), immuno-histo chemistry. Ability to use different confocal microscopy systems available in the lab to capture images and long
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information, marital status, matriculation, national origin, race, religion, personal appearance, political affiliation, sex, sexual orientation, veteran status, or any other characteristic protected by law
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . JOB DESCRIPTION AND POSITION
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Integration of lifestyle, metabolic, and genomic data to refine early detection and prevention strategies Disparities research and risk modeling to optimize equitable deployment of new cancer screening