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Field
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computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate hydraulic flood
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research approaches. Working closely with nursing partners and clinical collaborators, our exciting work combines non-invasive imaging technologies, deep learning, computer vision, and clinical workflow
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on an optical table and integrating novel optics to microscopy are a requirement for this position. Knowledge in computational imaging, mathematical modeling, strong computer programming skills in MATLAB and/or
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with stakeholders. QUALIFICATIONS Doctoral degree in Computer Science, Electrical/Computer Engineering, or a closely related field. Foundation in network security for 5G/6G and O-RAN, including TLS 1.2
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approaches, including molecular genetics, live cell imaging, biochemistry, genomics, and structural biology, to address fundamental questions in epigenetics. Further information about our research can be found
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techniques and high resolution imaging, perform in vitro functional analyses including patch-clamp and calcium measurements. Perform small animal surgery and in vivo phenotyping analyses. Develop and maintain
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Position Summary The lab of Dr. Jae-Sung Kim, PhD, in the Department of Surgery at WashU in St. Louis is seeking a Postdoctoral Fellow to join our research team focused on ischemia/reperfusion (I/R
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have experience in routine molecular biology techniques like Western blotting, PCR, immunohistochemistry and/or microscopy. Experience with electrophysiology or live-cell imaging techniques like calcium
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by engaging in an R&D effort to develop the next generation pressure-assisted cryopreservation system and such other tasks that are assigned to you. Core Responsibilities: Computer modeling
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behavior assays, CNS trauma surgery, viral vector production, imaging, genomics, and biochemical assays. Qualified candidates are encouraged to apply via this posting and include a current CV including names