22 image-segmentation Postdoctoral positions at The Ohio State University in United States
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) the information in your candidate profile as it will transfer to your application. Job Title: Research Assistant Professor - Faculty - Division of Medical Oncology Department: Medicine | IM Medical Oncology
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imaging data—primarily intraoral radiographs—integrated with clinical and behavioral data collected from multiple collaborating institutions. The overarching goal of this research is to enable early and
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utilizing cultured cells, genomic mouse models and human surgical specimens; experience in neuroimaging and electrophysiological techniques and neurophysiological approaches such as calcium imaging, patch
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, confocal/multi-photon high resolution imaging, patch clamping. The Ai lab offers a unique, dynamic environment encompassing both basic science and translational research funded by the NIH. Qualified
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in materials characterization usingadvanced electron microscopy, including: Scanning Electron Microscopy (SEM), Electron Back Scatter Diffraction (EBSD), Electron Channeling Contrast Imaging (ECCI
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), Electron Channeling Contrast Imaging (ECCI), and Scanning/Transmission Electron Microscopy (S/TEM). The ideal candidate will have experience applying these techniques to understand deformation mechanisms
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studies and comparison of snow cover area and ice area on the Quelccaya ice cap and the Papua, Indonesian ice fields from 1985-2025 using high resolution satellite images.; leading manuscript preparation
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| Surgery Cardiac Post Doctoral Researcher to pursue specialized research training, education and experience under the guidance of a scientific mentor in the Department of Surgery, Division of Cardiac Surgery
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Position Overview: We are seeking a highly-motivated postdoctoral scholar to contribute to the development and clinical translation of advanced MRI methods for womens imaging. The ideal candidate will have a
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| Radiology Position Overview: We are seeking a highly-motivated postdoctoral scholar to contribute to the development and clinical translation of advanced MRI methods for women’s imaging. The ideal candidate