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on the scientific potential/achievement of the candidates, technical experience/expertise in developing an imaging data-processing pipeline would be highly desirable. We are especially interested in candidates
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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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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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and 2-photon optogenetics to investigate how perturbations of early network function impact development. Qualifications Preferred candidates will have a Ph.D. or equivalent in neuroscience, biology, or
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Previous Job Job Title Post-Doctoral Associate - Plant and Microbial Biology Next Job Apply for Job Job ID 370515 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary
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equivalence criteria set out in Article 328 of the Act of 20 July 2018 Law on Higher Education and Science (Journal of Laws of 2024, item 1571; Polish: Dz. U. z 2024 poz. 1571 t.j.); Information
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to study genetically defined neuron types involved in perceptual function and dysfunction in behaving rodents. Our new GEVIs and imaging approaches (see Kannan, Vasan et al., Nature Methods , 2018; Science
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Qualifications PhD in cell biology and biophysics. Training and/or experience in handling of purified proteins, computational analysis and modeling in MATLAB, stem cell differentiation and tissue culture, confocal
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disease, and ALS. Our research utilizes a multidisciplinary approach incorporating mouse models, molecular/cellular biology techniques, and analysis of human postmortem brain and spinal cord tissue
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advancement. The ideal candidate will have a PhD in computer science or related field utilizing computer science methods, strong expertise in medical image processing, registration and analysis and a long-term