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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 | 1 day 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
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remaining. • Strong background in in vivo behavioral assays, electrophysiology, and/or imaging techniques. • Solid publication record in peer-reviewed journals. • Experience with stereotaxic surgery and
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Department:Radiology Salary Salary:$50,004.00 to Commensurate Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: Post-Doctoral Research Fellow in Quantitative Brain Imaging The MR
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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engineering, medical physics, or related fields, with proficiency in preclinical MRI, image data processing and analysis. Experience in handling and working with rodents is preferrable. Baylor College
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, the representation and processing of social information in patients with psychiatric conditions remain largely unclear. We use a suite of cutting-edge techniques, including in vivo multi-photon imaging, fiber