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join our research group to develop advanced techniques for ultra-high field (UHF) perfusion imaging. The successful candidate will have an opportunity to work with a highly experienced and multi
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, brain imaging, and psychopathology research. This position will include a central role in an active, funded collaboration between the Elliott Lab and researchers at Harvard University, Stanford University
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model development. -Proficiency in molecular and cellular biology techniques (e.g., DNA/RNA extraction, flow cytometry, histology, fluorescence imaging). -Proven record of first-author publications in
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in R, MATLAB, Python and/or other programming languages. Experience in AI and machine learning techniques applies to physiological, neural, and imaging data. Preferred qualifications Experience with
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professional domains and a desire to ask big-picture questions. Preferred Qualifications: Familiarity with natural language processing (NLP) or network science. Experience with machine learning libraries like
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and aging Skills in immunofluorescence, microscopy, image processing, and large-scale -omics data analyses Mentoring junior trainees About the Department The Department of Family Medicine and Community
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, the Microbial and Plant Genomics Institute, the BioTechnology Institute, the Biotechnology Resource Center, the University of Minnesota Genomics Center, the Biological Imaging Centers, the University of Minnesota
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proteins and perform western blotting to quantify results. Perform image and data analysis using MATLAB and FIJI, and summarize results by generating appropriate graphical output in Matlab or excel. Keep
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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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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