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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
translational imaging research. The Image Analysis core provides post-processing and statistical analysis specifically tailored to the needs of individual projects. The Cyclotron facility develops new imaging
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reconstruction and processing. Candidates are expected to have a strong background in medical imaging, experience in imaging system evaluation and clinical investigation. Brief Description of Duties
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contribute to the development of advanced informatics workflows designed to support the analysis of large digital pathology image sets. This position offers a unique opportunity to work at the intersection
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biological feedstocks for mass production of sustainable aviation fuel. The PIs are John Lagergren and Larry York, bringing expertise in shoot and root phenomics, computer vision, and artificial intelligence
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highly motivated and skilled postdoctoral researcher with interest in Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) in the study of aging and dementia, specifically Alzheimer's
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Pereira, Ph.D. The Ribeiro Pereira Lab is a preclinical multimodal imaging laboratory that aims at modulating the availability of surface targets by elucidating their regulatory mechanisms to enhance
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of the two, a wide range of novel new image processing algorithms, and the rapidly evolving applications of MRH/LSM in mouse models of neurologic disease. The above statements describe the general nature and
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lipid metabolism and protein degradation processes in retinal diseases with the aim of identifying and validating new therapeutic strategies to treat blindness. Duties: Development of assays, tools, and
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electrophysiology or live-cell imaging techniques like calcium imaging is also essential. Experience with bioinformatics or computational tools for biology is optional but highly valued. The Research Associate will