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and skill in programming with MATLAB or Python. Research experience in MEG, in vivo electrophysiology, in vivo two-photon/miniscope imaging, slice electrophysiology, and mouse brain surgery is desired
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
. * Genomics and bioinformatics analysis. * Live imaging. * Advanced molecular biology methods. Special Physical/Mental Requirements Special Instructions For information on UNC Postdoctoral Benefits and Services
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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management and coding, machine learning AI, and familiarity with LSST data management image reduction and analysis tools. Familiarity with processing data at the DOE US Data Facility at SLAC National
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. Yuan and Dr. Wei in the Department of Computer Science at Boston College are seeking highly motivated postdoctoral fellows to join an interdisciplinary team advancing the frontiers of biomedical image
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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including pre-clinical studies, image-guided delivery, nucleic acid therapeutics, targeting and therapeutic aptamers/peptides, immunotherapy, RNA biology, nose-to-brain delivery, blood brain barrier targeting
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measure success. Basic Qualifications: A PhD in Materials Science and Engineering or a related field completed within the last 5 years Preferred Qualifications: Strong background in computational and image
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical