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(NACES), which can be found at http://www.naces.org/ . Please provide names and email addresses of three to five references as part of the UF application process. When ready, the hiring department will
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) principles; • clinical experience with companion and/or livestock animals; • technical proficiency in: diagnostic imaging (ultrasound operation), assisting and independently performing surgical/medical
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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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Internal Number: 260550 Position Summary: Rutgers, The State University of New Jersey, is seeking a Postdoctoral Associate for the Division of Acute Care Surgery at the Robert Wood Johnson Medical School
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the FHNW. The goal is to develop a highly automated, reproducible pipeline for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and
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visual dimensions in the context of face, animacy, and object representations more generally. We collect and analyse human behavioural and brain imaging (fMRI and M/EEG) data. We also analyse macaque
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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