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Field
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analysis, kinetic modeling, data analysis, and results dissemination. Qualifications: The ideal candidate will have some prior hands-on experience in preclinical PET/CT or PET/MR imaging, image processing
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and sample tracking into reproducible end-to-end pipelines. Develop and apply computational pipelines for image processing, cell segmentation, debarcoding and spatial statistics. Close the experimental
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with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research. Experience in
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to work collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and
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or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research
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collaboratively with others and contribute to a team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and
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appropriate statistical and computational methods. Prepare manuscripts, presentations, fellowship applications, and contributions to research proposals. Collaborate across engineering, cancer biology, and
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factors assessment). You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a
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confocal microscopy, and quantitative fluorescence imaging, to monitor and quantify protease activity in real time. 4. Data analysis and interpretation Processing, analyzing, and interpreting experimental
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contributions to biomedical science. Be Bold. Join a research program focused on uncovering the cellular, molecular, and neural mechanisms underlying migraine and chronic pain. You'll leverage cutting-edge