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graph neural networks for complex sensor networks such as those involved in brain imaging Develop and test data-driven methods for image and video processing for microendoscopy. Key Duties and
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processing magnetic resonance imaging (MRI), such as arterial spin labeling and diffusion tractography using programming scripts, such as Python and C++ Self-driven, motivated, and creative in designing image
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processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic science into advances in clinical practice. Our research focuses on four main
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magnetic resonance imaging using pulse sequence design, image reconstruction, and real-time image processing, for brain, body, and fetal applications. Responsibilities: The successful candidates will develop
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uncover how epithelial cells organise in space and time under different physico-chemical environments to drive self-organisation processes, like condensates, that shape mesoscale structures enabling tissue
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contribute to the excellence of our academic community. Supervised by the PI, the individual will be expected to develop and collaborate on a series of cutting-edge radiochemistry and CNS-targeted imaging
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to understand the role of subcortical circuitry in normal and pathological feeding and reward processes. Applicant must hold a PhD or equivalent degree in neuroscience, biochemistry, molecular biology, psychology
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processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic science into advances in clinical practice. Our community of world-renowned
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
to process the notes, EHR data as well as the images to advance the aims of the project. Mentors for the candidate will include Dr. Ashok Krishnamurthy and Dr. Matt Satusky from RENCI, Dr. Emily Pfaff from
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Position Summary The Integrated Biomedical Imaging Laboratory is seeking a Postdoctoral Research Associate interested in developing novel hybrid noninvasive imaging systems for studying the pregnant