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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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-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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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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documented on application materials. Required Qualifications: • PhD, MD, or equivalent. • Experience collaborating with clinical and research faculty in an academic setting. • Excellent spoken and written
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for performing image acquisition and reconstruction (10%) • Create and use computer programs to perform simulations of the developed technologies, for the purpose of testing and optimizing their performance (10
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Regular/Temporary Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Qualifications Required: PhD in physics, chemistry, biophysics, biochemistry
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job POST DOC POSITION: Subree Subramanian About the Job: The Department of Surgery at the University of Minnesota is seeking a
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: • Experience with next-generation sequencing, spatial transcriptomics, or imaging techniques. • Proficiency in computational biology tools for transcriptomic and genomic data analysis. • Familiarity with animal