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for neurovascular interventions. The successful candidate will develop and evaluate medical imaging and artificial intelligence methods for vascular mapping and navigation using computed tomography (CT) and digital
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at the intersection of advanced microscopy, atom probe tomography (APT), artificial intelligence and materials science. Working with world-class characterisation facilities, they will develop quantitative and AI
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
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engineered extracellular vesicles as a potential strategy to restore antitumor immunity and prevent malignant progression. The postdoctoral fellow will work within this overall program but may develop
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position The lab is looking for a postdoc to further develop agentic pipelines that autonomously manage computational tasks: You oversee dozens of computational biology tasks across biological disciplines
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education. The project will involve software development for Apple Vision Pro using Swift and the Apple spatial computing ecosystem, as well as the development and deployment of edge AI models for automated
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. Participates in experiment design and evaluation; executes experiments; performs data analysis; reports to principal investigator (PI); Develops new methods for research; develops and details understanding
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of manuscripts and proposals for funding agencies and operation of research equipment. Work will center on the development of synthetic organic routes for the preparation of conjugated small molecules and
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Help us uncover how the infant gut microbiome shapes immune development. Join Us! Do you want to investigate how the microbiome acquired in early life influences innate immunity and pathogen
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Requisition Id 17070 Overview: We are seeking a Postdoctoral Research Associate who will use multiscale modeling and simulation to develop probabilistic lifting frameworks for high-temperature