21 postdoctoral-image-processing-in-computer-science positions at University of Minnesota
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, 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
-
Overview: This Researcher 1 position supports a highly collaborative effort co-led by Professor Erik Finger (Surgery) and Professor John Bischof (Mechanical Engineering) focused on cutting-edge research
-
Previous Job Job Title Research Assistant Professor of Biomedical Engineering – Neurodegeneration Focus Next Job Apply for Job Job ID 368288 Location Twin Cities Job Family Academic Full/Part Time
-
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
-
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
-
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
-
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
-
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
-
reconstruction approaches that provide increased SNR and image acceleration. The proposed work will also involve data analysis through novel image processing and analysis tools developed within the HCP. Ideal
-
, 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