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detection, segmentation, classification, and pose estimation, as well as integrating these models into real-time systems. The role will involve working with large and multi-modal datasets (e.g., images, video
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Regular Job Code 9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job The Crane Lab at the University of Minnesota is seeking a postdoctoral associate for research
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of plasmid and viral vectors, transfections, neutralization, western blotting, molecular cloning, ligand-binding, fluorescent imaging, structural characterization of membrane-bound or soluble viral proteins
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Previous Job Job Title Post-Doctoral Associate Next Job Apply for Job Job ID 366579 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary Regular Job Code 9546 Employee
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to build a prototype of sustainable online tools and services that are relevant and useful to a broad range of stakeholders making decisions about the future. The selected candidate will join a vigorous
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vision for future research and practice in the visual and material medical humanities. We understand visual and material to refer to both artefacts (including but not limited to images, objects and
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the Department of Biomedical Informatics at the University of Colorado Anschutz Medical Campus. His lab specializes in: Developing advanced mathematical models to accelerate and enhance magnetic resonance imaging
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(transcranial magnetic stimulation (TMS), intracranial electrical stimulation (iES)) concurrent with functional magnetic resonance imaging (fMRI) or intracranial electroencephalography (iEEG), and brain lesion
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expert network. You will be able to interface with experts from other engineering disciplines for applications and potential demonstrations. You will be responsible for: prototype applications, proofs
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) at the Technical University of Munich (TUM) is looking for a talented postdoctoral researcher (f/m/d) to deepen their expertise and interest in machine learning for medical image analysis and built their early