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Kamariza at the University of California Los Angeles (UCLA), located in the Bioengineering Department. Leveraging chemical biology and fluorescence imaging techniques, we are developing a new platform to
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at the University of California Los Angeles (UCLA), located in the Bioengineering Department. Leveraging chemical biology and fluorescence imaging techniques, we are developing a new platform to detect tuberculosis
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 30 days ago
researcher with a background in machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders
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are separate from the natural world – upon an increasingly dominant paradigm in environmental science – social ecological systems, which acknowledges that human social systems are part of natural ecosystems
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. The applicant will join a well-funded lab to engage in basic and translational neuroscience research. The laboratory uses in-vivo and in-vitro recording techniques including 2-photon imaging, whole-cell recording
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related to childhood asthma and the indoor microbiome; conducts quantitative studies, engages with development and validation of assessment tools, and conducts qualitative methods to code interviews with
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OverviewWe are seeking a highly motivated and creative postdoctoral scholar to pioneer the development of novel high-power radiofrequency (RF) coils for multinuclear magnetic resonance imaging (MRI
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focused on advanced tissue imaging for diagnostic and intraoperative applications. The successful candidate will work on federally funded projects aimed at developing and applying novel microscopy platforms
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(e.g., FTNIR, NIR, E-Nose, GC-MS, LC-MS, hyperspectral imaging) to characterize fermented and upcycled products. • Work in a cooperative manner with the Supervisor and other co-workers. • Build
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exceptional postdoctoral research fellows interested in developing deep learning and computational methods for pathology image analysis, multimodal data integration, and other medical modalities (e.g