85 postdoc-computational-fluid-dynamics Postdoctoral positions at University of Minnesota in United States
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, Ph.D. This position is designed to recruit two highly motivated postdocs with a strong background in molecular biology or virology to support studies on Epstein-Barr virus (EBV) oncology. Individuals
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independently perform surgery and perfusions on experimental animals. • Collect tissue and fluid samples (e.g., body fat, brain tissue, blood) from experimental animals; store and analyze the tissue (e.g., ESLISA
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. This position is designed to recruit two highly motivated postdocs with a strong background in molecular biology or virology to support studies on Epstein-Barr virus (EBV) oncology. Individuals should be open to
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for Magnetic Resonance Research (CMRR), including ultra- high resolution 7T imaging. Our group is strongly committed to professional development and personalizing the postdoc experience. We encourage
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Biostatistics program ranked #9. Pay and Benefits Pay Range: Based on NIH NRSA postdoctoral stipend levels . (depending on education/qualifications/experience) Postdoc No Experience: $61,008 Postdoc 1 year of
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of Minnesota is seeking a highly motivated Postdoctoral Researcher to join a dynamic team focused on developing intelligent neurotechnologies for translational medicine. The lab specializes in computational
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biology, genetics, physiology or biomedicine and have a strong track record of, and potential for, success. The applicant should have a keen research interest in cell signaling, calcium dynamics
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that utilize them. Analysis work includes multiwavelength analysis of solar flare data from the Solar Dynamics Observatory, Solar Orbiter, and other missions. Job Duties: 30% Laboratory instrumentation work 30
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researcher for a 2-year, collaborative project funded by Minnesota’s LCCMR Program titled "Climate change and management effects on lake methane". The position will be based at the University of Minnesota
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diverse soil and management conditions - Excellent technical knowledge of nitrogen dynamics and loss pathways in crop production - Proficiency in GIS and remote sensing workflows, using tools like QGIS, R