20 postdoctoral-image-processing-in-computer-science-"U" Postdoctoral positions in United States
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, obtained within the last two years. In-depth knowledge in retinal vascular biology, mouse genetics, Ca 2+ signaling in endothelial cells, imaging and image quantifications, and endothelial cell based in
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Summary: Perform research on RNA and DNA aptamers. Discover aptamers by in vitro selection for fluorescent imaging. Perform
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techniques) • Perform and modify documented protocols and assays • Maintain laboratory records and compile data on experiments and assays • Interpret and report on experimental results • Perform statistical
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Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking a
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including engineering of mammalian cell genomes using CRISPR/Cas9 editing, cell cycle synchrony experiments, analysis of chromosome segregation, immunostaining, live cell microscopy, and quantitative image
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Sciences at the University of Utah invites applications for an immediate postdoctoral position in Dr. Paul S. Bernstein’s laboratory. The translational research focuses on the role of nutrition to treat and
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on the Biology of Aging and Metabolism. His research program is focused on discovering fundamental mechanisms of aging. His laboratory employs novel animal models, primary human cells, and human tissues
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imaging. About the Department Neuroscience is the scientific study of the nervous system. It is an interdisciplinary science that collaborates with other fields such as chemistry, computer science
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disease which combines behavioral and genetic models, metabolic, neuroendocrine and imaging techniques in living animals as well as sophisticated molecular and structural biology analyses of neuropeptides
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, implement, and evaluate computational models that assimilate 2-photon data (60%) Use a computer programming language to create novel neural network simulations (models) that include realistic simulations