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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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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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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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at https://www.johnsous.com. [https://www.johnsous.com/images/icon_hu61134baca3b3567c6f9ff584405aa1f8_7678393_512x512_fill_lanczos_center_2.png]https://www.johnsous.com/> John Soushttps://www.johnsous.com
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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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genomic pathology approaches, including CRISPR, single cell sequencing, spatial transcriptomics, and image analysis to address biologically- and clinically-driven questions. Our overall aim is to
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applied machine learning/deep learning with applications to either language, signals, or images. Required Skill/Ability 4: Demonstrated strong ability to communicate technical ideas and results to non
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responses to mechanical cues. Utilize advanced molecular and imaging techniques to study RNA localization and function. Collaborate within a multidisciplinary team at the intersection of RNA biology and
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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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PRS prediction of response to THC in a laboratory paradigm, and a newly-funded NIMH study focuses on depression and anxiety genetics on large biobank samples. Through these and several other current