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Medical Computer Vision Experience with Large Language Models and Generative AI Experience working with real-world EHR and imaging data Experience working with PACS and the DICOM standard Preferred
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the vision of a chip-scale, high-power EUV source for applications including EUV lithography and imaging. Key responsibilities include: Developing theoretical and numerical frameworks in free-electron-driven
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www.daslabpombe.com. For this research, we will use yeast genetics, live-cell imaging, protein dynamics, in vitro reconstitution, quantitative microscopy, and mathematical modeling approaches. Our lab is well equipped
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foundational methods for integrating single-cell and clinical transcriptomes; and train, fine-tune, and validate deep learning models using multi-omics and imaging data to predict clinical outcomes such as
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information visit https://truttmann.lab.medicine.umich.edu/. Our group values curiosity, teamwork, community, and the desire for intellectual growth. We are looking for an individual interested in contributing
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Robot Vision research environment. The role is aligned with the EPSRC OASIS Hub and will contribute to research in AI for advanced endoscopic imaging and computational imaging for interventional
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encephalitis, and related neurological disorders. The project combines human induced pluripotent stem cell (hiPSC) technology, brain organoids, genome engineering, advanced imaging, systems immunology, and high
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, train, and evaluate machine learning models for image processing and automated detection of animal infestations, wounds, and other indicators of susceptibility to myiasis; and apply computer vision
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that translate evidence-based interventions for preventing suicide and violence in communities, functional magnetic resonance imaging (fMRI) studies, firearm injury prevention through technology and engineering
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Job related to staff position within a Research Infrastructure? No Offer Description Advance photoelectrochemical catalysis for sunlight-driven green fuels - from catalyst design to working prototype