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are seeking a Ph.D. student to join our multidisciplinary team developing a radical solution for better detection and treatment that uses ultra-thin snake-like robots and advanced optical imaging techniques
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Researcher to join our interdisciplinary team in the Department of Electrical and Computer Engineering. This role focuses on developing and applying label-free imaging techniques, designing cutting-edge optics
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optics, with a focus on quantum channel discrimination for high-resolution spectroscopy and AC field sensing. The project aims to develop theoretical frameworks for distinguishing closely related quantum
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Eligibility criteria PhD in Applied Physics, Optics, Biomedical Imaging, or a related field; Strong expertise in experimental optics and optical instrumentation; Proficiency in image processing and data
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of the project: The project focuses on advanced biophotonics and optoelectronics, with particular emphasis on techniques used for optical imaging of the human retina. It centers on two-photon fluorescence
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of the project: The project focuses on advanced biophotonics and optoelectronics, with particular emphasis on techniques used for optical imaging of the human retina. It centers on two-photon fluorescence
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required for demonstrating operation at TRL 4. Perform experimental characterization of prototype performance, including measurements related to optical efficiency, structural stability, tracking accuracy
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
advanced magnetic resonance imaging techniques at 3T and 7T for imaging the visual system, including the retina, optic nerve, or brain. MRI techniques to assess blood flow, function, diffusion, and CSF flow
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About us The Department of Imaging Neuroscience, home to the internationally renowned Functional Imaging Laboratory, has spent over 30 years advancing our understanding of the human brain through
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Postdoctoral Researcher to work on projects related to digital holography and optical coherence tomography. Candidates should have a PhD in electrical or biomedical engineering or related disciplines with