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, preferably MRI. Experience with tumor segmentation, radiomics, or deep learning–based image processing is expected. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow is required
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 8 days ago
principales missions du doctorant/de la doctorante seront : - Développer une méthode d'imagerie time-lapse combinant EMI et ERT pour imager la structure et la dynamique de la conductivité électrique des sols
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engineering, including (but not limited to): Imaging and Biomedical Devices: advanced biomedical imaging technologies; neuroimaging, optical imaging; ultrasonic imaging; multimodal and hybrid imaging systems
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optimal imaging options for most common MRI exams to minimize artifacts and decrease scan time. Post process if needed. Calculate and administer appropriate contrast for exam. Administer contrast under
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The VCC center at KAUST is looking for research scientists in Prof. Wonka's research group. The topics of research are computer vision, computer graphics, and deep learning. A suitable candidate
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. For instructions on the Interfolio application process, please visit http://tiny.cc/InterfolioHelp . The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color
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turns gravity signals into stable movement. The lab uses the model organism zebrafish (Danio rerio), combining genetics, imaging, behavior, and modeling. For more information on our research, please visit
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motivated Preferred Qualifications: Experience with serial section EM Histology Viral and immuno labeling Stereotaxic surgery Image analysis software and systems (e.g. FIJI/ImageJ, EyeWire) Light microscopy
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. COMPFOR 111 introduces programming and computing's impact on social justice in a scaffolded process of using teaspoon languages, writing programs in the Snap! programming language (https://snap.berkeley.edu
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including