11 computer-science-image-processing Postdoctoral positions at University of Minnesota
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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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troubleshoot each specific procedure as required • Assist and train other members of the laboratory, including undergraduate and graduate students, in proper experimental technique and in following protocols 15
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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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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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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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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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, computer science, engineering, linguistics, mathematics, medicine and allied disciplines, philosophy, physics, and psychology. The Department of Neuroscience is committed to providing excellence in research
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focusing on encapsulated cell-based therapies for the treatment of diabetes. This post-doc will lead the development of magnetic resonance spectroscopy (MRS) and imaging (MRI) methodologies and conduct non