12 postdoctoral-image-processing-in-computer-science 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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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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://www.virology.umn.edu A robust career development program will be individually crafted for each postdoctoral researcher, which will emphasize not only research excellence, but also acquiring excellence in other skill
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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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. Analyze complex imaging data using quantitative and computational approaches. Collaborate with a multidisciplinary team of neuroscientists, optical engineers, and data scientists. Present research findings
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Previous Job Job Title Post-Doctoral Associate - Department of Integrative Biology and Physiology Next Job Apply for Job Job ID 372797 Location Twin Cities Job Family Academic Full/Part Time Full
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hearts Assist with human heart anatomical studies and imaging and developing high resolution computational models and 3D printed models to be used for device testing Work under general supervision but is
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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
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, Statistics, or a related field, strong computing/programming and communication skills, and a strong interest in omics and/or imaging data analysis are required. Experience in Bayesian high-dimensional data