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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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on the development of Bayesian statistical/machine learning methods for the data integration analysis of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would
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experiment. Lead a lecture section of a large introductory physics course including development of lectures and oversight of teaching assistants. Develop software for the readout of prototype and production
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Routine mammalian cell culture, transfection using sterile techniques. Preferred qualifications: • Immunofluorescence microscopy: sample preparation, immunofluorescent microscopy experience, image analysis
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, biomedical engineering, computer science, neuroscience or similar field Experience acquiring and analyzing magnetic resonance spectra or images Track record of scientific publications Preferred: Experience in
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collection or other research processes. • Comply with applicable Federal Regulations, Good Clinical Practice, and local research regulatory requirements. Data Collection (30%) • Collaborate with Principal
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-photon imaging in the ferret. The end goal of our work is to test a model of excitatory-inhibitory interactions against data collected in an animal model with columnar architecture in primary visual cortex
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Webber, Dr. James Dutton, and Dr. Jonathan Sachs). The UMN is home to world-class core facilities including the University of Minnesota Genomic Center, The University Imaging Center, and the Minnesota
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related field, strong computing/programming and communication skills, and previous research experience in (I) at least one of 1) statistical genetics/genomics/omics, 2) neuroimaging or medical imaging, and