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Post-Doctoral Position - Medical Image Processing - (240000Y9) Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in
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will include: 1. Implementing and quality-assuring MR Fingerprinting scans on multiple clinical scanners 2. Integrating advanced imaging tools for image processing and analysis. 3. Coordinating closely
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imaging pipelines, and use deep learning to gain insight into biological processes. You will also gain direct exposure to cardiovascular physiology and rodent imaging in close collaboration with biologists
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, and use deep learning to gain insight into biological processes. You will also gain direct exposure to cardiovascular physiology and rodent imaging in close collaboration with biologists. We work
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Biology, Deep Learning, Histology, Immunochemistry, In Vivo Imaging, Micro-Computed Tomography (Micro-CT), Mouse Handling Questions For frequently asked questions about the application process, please refer
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. The experiments in the lab will vary over time. They can be divided into three primary categories. First, using microscopy to image different parts of the plant depending on growing conditions. Second, harvesting
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Filled Yes Desired Start Date 06/09/2025 Job Summary Position will work with collaborators on analyzing imaging and behavioral data from the BrainHealth Project. The BrainHealth Project is a landmark study
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activity will be academic research in association with a faculty member or team. The appointee will be responsible for preparing samples for X-ray and electron microscopy (EM) imaging (e.g., animal
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shoots, and optimizes methods. Analyzes, interprets, and presents complex experimental results. Performs statistical analyses. Understands models of biological processes, derives appropriate predictions
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time. They can be divided into three primary categories. First, using microscopy to image different parts of the plant depending on growing conditions. Second, harvesting tissue samples from the plants