12 postdoctoral-image-processing-"https:" Postdoctoral positions at University of Minnesota
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and processing • Data collection, including in vivo behavioral experiments • Data analysis • Data interpretation • Data presentation, including the creation of figures and writing manuscripts. This may
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big-picture questions. Preferred Qualifications: Experience with computational topology software (e.g., GUDHI, Ripser, giotto-tda, or similar). Familiarity with natural language processing (NLP
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(IMV) serves as the nexus for the virology research community at the University of Minnesota and provides an outstanding research environment for postdoctoral study. For more info, see: https
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strains, imaging fungal growth and mineral dissolution processes, and analyzing chemical effluent and mineral weathering products. In addition, the postdoctoral researcher may have opportunities
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with immunofluorescence of cells and/or tissues, and imaging Pay and Benefits Pay Range: $63,480 - 77,076.00; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral
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Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Utilize multi-photon optical imaging to study neuro-vascular coupling in the mammalian brain
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seeks a highly motivated Postdoctoral Research Associate to join a team working on multiple research projects related to the cardiovascular anatomy in human hearts from the Visible Heart® Laboratories
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into experimental animals. Assist with and eventually independently perform surgery and perfusions on experimental animals. Collect tissue and fluid samples (e.g., body fat, brain tissue, blood) from experimental
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-Doctoral Associate (9546 Post-Doctoral Associate) position. For more info on the division, visit http://www.sph.umn.edu/academics/divisions/biostatistics/. The successful candidate will work with Dr. Thierry
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species where reference resources remain incomplete. ● Pathology and imaging integration: Develop computer vision approaches for histopathology and radiology, linking image-derived features with genomic and