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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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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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, located in Brooklyn, has the distinct history of having been known previously as Brooklyn Poly. The position is open to PhDs with background in robotics, controls, AI, and/or computer vision and hardware
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with world-class research infrastructure, consisting of PhD-level scientists, graduate and undergraduate students. The positions are funded for two years with the possibility of renewal. The terms
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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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experienced research technologist and graduate student to harvest and process tissue samples. Perform single cell RNA sequencing of placental and fetal brain samples. Perform histological and imaging analyses
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Post-Doctoral Fellow - 37476 Faculty Description University of Colorado Anschutz Medical Campus Department: Department of Dermatology Job Title: Post-Doctoral Research Fellow Position #00838200
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 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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Number: 6268974 University of California Irvine Postdoctoral in Magnetic Resonance Imaging Position overview Salary range: A reasonable estimate for this position is $66,737-$80,034 for Exempt and $31.97
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qualifications include: Experience with radio interferometric observing, data processing, and imaging. Experience with modern machine learning / deep learning techniques and software packages. Experience with time