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Field
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. The ideal candidate should have a strong background in one or more of the following: developmental biology, genetics, molecular techniques, bioinformatics/genomics, electrophysiology, calcium imaging
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research project using cutting-edge approaches in whole-cell patch-clamp electrophysiology, in vivo calcium imaging, and animal behavioral tests. • Employ advanced neural circuit dissection methods (e.g
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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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/3D imaging, mouse behavior, stem cell, and biomaterial approaches. For more information on research projects in the lab, please refer to our recent publications (Cell Stem Cell., 2023, PMID: 37863055
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to instrumentation and techniques for ground and space-based wavefront control and high-contrast imaging. Candidates with a range of experience outside of astronomy are encouraged to apply. As a Postdoctoral Research
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: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Translational Imaging Group (TIGr) in the Department of Radiology at Texas Children’s Hospital and Baylor College of Medicine is seeking a
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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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treatment plans, enhance patient outcomes, and innovate radiation therapy techniques. Job Duties 1- AI-Modeling for Treatment Planning: Develops, optimizes, and validates AI-based models to assist in image
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
data collection of mammograms, and pathology and radiology images for potential development of a Virtual Tumor Board. The selected candidate is expected to work in a team environment together
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encryption and zero-knowledge proofs to protect personal data. • Create solutions for real-time detection of model tampering, including mechanisms for identifying and preventing personal data exposure