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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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postdocs, research staff, and faculty including Drs Joel Gelernter, Daniel Levey, Janitza Montalvo-Ortiz, Renato Polimanti, and Hang Zhou. Opportunities to become involved with other areas of work will arise
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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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the highest quality research training, we have designed our program to include the following combination of didactic, experiential, practical, and individualized components. Each postdoc will: 1) Receive
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. This role enables postdocs to gain expertise in causal analysis within complex, non-probability observational samples while engaging in exciting applications that harness and integrate data from various
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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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to advance farm-based restoration or restoration in mosaic landscapes. How this postdoc position aligns with your professional goals and will support your career development. Please direct applications
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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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application to bids.admin@yale.edu using the subject line “Ohno-Machado Postdoc Applicant,” and including the following documents: Cover letter explaining your background and motivation for the position (2
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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