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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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                Informatics (IHI), University of Minnesota, Twin Cities. Dr. Bayat’s team develops highly scalable and computationally accelerated medical imaging and analysis methods to assist in enhanced diagnosis and 
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                Pay Range: $62,232 - $65,000: Pay is determined by NIH Postdoc levels of education and experience Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit 
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                on Accreditation in Clinical Chemistry (COMACC). This is a two-year program for postdocs or one-year program for MDs. The Program’s principal objective is to educate, train, and prepare clinical chemists to provide 
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                intellectual community of faculty, postdocs, and graduate students created by the diverse interest groups, colloquia, and other activities the Center organizes. Pay and Benefits Pay Range: $61008; depending 
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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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                /molecular approaches, in vivo imaging, behavior, histology, and EEG. The desire to learn new techniques and work as part of a collaborative team is strongly encouraged. Training in new techniques would be 
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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 Postdoc in urban stormwater pond dynamics We are seeking a postdoctoral 
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                and Benefits Pay Range: $62,232 - $75,564: Pay is determined by NIH Postdoc levels of education and experience Please visit the Benefits for Postdoctoral Candidates website for more information 
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                . This position offers the opportunity to work in a vibrant, well-funded lab with strong collaborations across neuropathology, neurology, and neuroscience, and access to advanced resources such as imaging cores