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Job Description Apply now Job Title: Postdoctoral Associate - Aortic Imaging & Clinical Research Division: Surgery Work Arrangement: Onsite only Location: Houston, TX Salary Range: $62,232 FLSA
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. Experience applying computer vision, image analysis, and/or machine-learning methods to microscopy or materials characterization data. Demonstrated ability to analyze microstructural data and relate
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, with the ability to work effectively at the engineering-biology interface. Hands-on experience of cleanroom micro- or nanofabrication, particularly silicon or porous-silicon processing, surface
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unprecedented image quality and quantitative performance. As part of a multidisciplinary team spanning optics, acoustics, electronics, computation, engineering, physics, medicine, and clinical translation, you
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-resolution imaging to altimetry. In TU Delft, we are openning a 2-year postdoctoral researcher position to advance this promising field. The position is part of NL-RIA 2.0, the Dutch network on small
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research and technology-development environment. Key responsibilities Preclinical research: Design, coordinate, and conduct small-animal studies to evaluate and validate the robotic, image-guided ultrasound
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-affiliated with the Yale Stem Cell Center, the Department of Comparative Medicine, and the Department of Surgery, providing a highly collaborative and multidisciplinary ecosystem. The position is ideal
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or a closely-related field. Demonstrated experience with SAR image processing using SNAP, PolSARPro or similar. Experience in the use of SAR for agricultural applications. Demonstrated proficiency in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
, viral vector engineering, neuropharmacology, and systems neuroscience. This position will contribute to projects aimed at developing and applying novel approaches for neural circuit interrogation
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expertise in in vivo two-photon imaging to study how cortical circuits represent and regulate immune responses. Our group focuses on the “neuroscience of immune responses,” applying circuit-level and systems