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, optical engineering, biomedical imaging, interferometry, optical microscopy, optical coherence tomography, automation / robotics, - skills in signal processing (highly advantageous), - motivation to conduct
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
the group of Dr. Eric Muir at the University of North Carolina at Chapel Hill in the Department of Radiology and the Biomedical Research Imaging Center. The successful candidate will develop and optimize
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, Microbiology & Immunology, Neurological Surgery, Neurology, Otolaryngology - Head and Neck Surgery, Pediatrics, Radiation Oncology / SCHOOL OF MEDICINE / UC San Francisco Cell & Tissue Biology / SCHOOL
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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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lab. In addition, you will assist in training new researchers within the research group. You will provide support in processing data generated from 3D motion capture techniques and medical imaging. You
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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de neuromelanina y factores de susceptibilidad a la enfermedad de parkinson: rol en el inicio y progresión de la enfermedad” Where to apply Website https://jobs.vhir.org/jobs/6941521-phd-researcher
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. ACTIVITIES Medical image processing and 3D model reconstruction Computational model development using mechanical properties of biological tissues (from the laboratory’s work) Scientific result dissemination in
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the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree) Doctoral research in the area of machine
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, contribute to a better world. We look forward to receiving your application! We invite applications for a fully funded PhD student position to join the research group of Jan Glaubitz to work on Bayesian