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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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international collaborations with clinicians, regulators, policymakers, and industry partners. You must have a strong background in machine learning, computer vision, and medical image analysis, with publications
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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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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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at the University of Cincinnati College of Medicine. This position will work under general supervision of Achala Vagal, MD and assist with the coordination of laboratory projects or research studies in imaging, makes
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with ultrastructural analysis. Manage, process, and analyze large imaging datasets generated from the project. Assist in mentoring and training PhD and undergraduate students in relevant techniques and
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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 Lead Researcher within the Cell and Tissue Imaging Center's electron microscopy facility utilizes an established skill set in electron microscopy and histology (tissue processing, resin
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Knowledge, Skills and Experience Proven experience with machine learning model design and implementation, particularly in computer vision tasks (image classification, object detection) Strong programming