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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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indicators (GEVIs) for single-neuron, single-spike resolution recordings in behaving animals. The incoming candidate in the Kannan lab will apply advanced optical tools and multipopulation voltage imaging
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related field, and experience in one or more of the following areas: multiphoton imaging, optogenetics, calcium imaging, and / or in vivo electrophysiology. Applicants without prior experience in
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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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of Minnesota’s Masonic Institute for the Developing Brain (MIDB) under the direction of Dr. Damien Fair. This position will focus on precision imaging and TMS projects. CDNI is housed at the Masonic Institute
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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
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prototype device into a minimum-viable-product that can be utilized in hospitals and clinics. The postdoc will assist the laboratory in equipping the current prototype device with new features and
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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