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. The candidate must have a track record of reliability and good verbal and written communication skills. This is an ideal position for a recent graduate with an PhD, MD/PhD degree in related fields, but not
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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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Previous Job Job Title Assistant/Associate/Full Professor - Clinical Cardiovascular Imaging Next Job Apply for Job Job ID 365808 Location Twin Cities Job Family Academic Full/Part Time Full-Time
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Required Qualifications PhD in plant molecular biology/genetics. Experience in bioinformatic analysis of single cell transcriptomic data. Strong publication record in plant molecular biology and genomics
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Associate Professor position from candidates with a Ph.D or equivalent degree specializing in biomedical engineering, electrical & computer engineering, neuroscience, or related fields. Experience with
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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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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
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presentations and posters. 5% Mentoring Training graduate, undergraduate and technical staff in theoretical and/or bench science Qualifications Required Qualifications: PhD in Biochemistry, molecular biology or a
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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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-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