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Title of the Position: Postdoctoral Research Associate Department and School: Yale Clinical Neurosciences Imaging Center, Department of Neurology, School of Medicine Anticipated Appointment Dates:7
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available positions. The project will involve the development and implementation of novel algorithms for analyzing breast magnetic resonance imaging (MRI) data for breast cancer detection and diagnosis. Our
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on preclinical and clinical PET/CT and PET/MR imaging in endocrine applications, including diabetes and obesity. The primary funded project examines changes in the dopaminergic system in the pancreas and brain
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Post-Doctoral Position in Deep Learning for MRI Reconstruction at Yale University Title: Postdoctoral Associate, Yale School of Medicine Department/Division: Radiology and Biomedical Imaging
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into the effects of cannabis and cannabinoids, combining molecular neuroscience, genetics, electroencephalography, imaging, and psychopharmacology. We are deeply committed to training the next generation of
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in vivo mechanotransduction. Investigate RNA-mediated processes governing cellular responses to mechanical cues. Utilize advanced molecular and imaging techniques to study RNA localization and function
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and cannabinoids, combining molecular neuroscience, genetics, electroencephalography, imaging, and psychopharmacology. We are deeply committed to training the next generation of scientists and
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analyse complex data from emerging genomic pathology approaches, including CRISPR, single cell sequencing, spatial transcriptomics, and image analysis to address biologically- and clinically-driven
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/CT and PET/MR imaging for cardiac applications. Responsibilities involve working with preclinical large animal models, preclinical and clinical PET imaging, image analysis, kinetic modeling, data
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assays, rapid genomic editing tools, multi–allelic mouse models, mouse live imaging, establishment of new transplant models, drug treatments, collection of tissues and fluids, pathology, immunoprobing