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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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imaging; architectural representation methods or drawing; history or theory, schematic and design development methods, building design programming, site and urban design methods, contract documents, design
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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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of data (15%): Conduct cell culture, live cell microscopy/imaging, high-throughput screening, and quantitative data analysis. Work directly with collaborators and other lab personnel to complete grant
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Supercomputing Institute, the Microbial and Plant Genomics Institute, the BioTechnology Institute, the Biotechnology Resource Center, the University of Minnesota Genomics Center, the Biological Imaging Centers
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preservations and processing based on client’s criteria in a timely fashion. Perform donor eye dissection, photography, imaging analysis and documentation on dissected tissue. Assist in tissue fixation, embedding
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certifications to conduct assessments with human research subjects on study-related equipment Track and maintain accurate long-term sample storage organization Assist in medical imaging Work Hours: 7:30am-3:30pm
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. elegans including deletions, epitope tagging and large insertions • Molecular cloning • Immunoprecipitation and co-immunoprecipitation of C. elegans proteins • Fluorescence microscopy and image analysis
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antibodies, all sections, and all tissue blocks. Schedule and assist with imaging of special stains and immunohistochemically stained sections. Assist in the generation of publication quality images
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Routine mammalian cell culture, transfection using sterile techniques. Preferred qualifications: • Immunofluorescence microscopy: sample preparation, immunofluorescent microscopy experience, image analysis