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. The clinical sections include sections of Abdominal Imaging, Breast Imaging, Nuclear Medicine, Musculoskeletal Imaging, Neuroradiology, Pediatric Imaging, Thoracic Imaging, and Vascular/Interventional Radiology
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automation integration and deployment of image segmentation algorithms for the automated assessment of thin-film solar cell fabrication processes (e.g. layer quality, defects, morphology) within NOMAD Oasis
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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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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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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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numerical results with observations from scanning and transmission electron microscopy provided by the partners of the ANR project IMP3D (https://anr.fr/Projet-ANR-24-CE08-3737 . - Select a discrete
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conduct in vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Develop or adapt high-speed image acquisition and processing methods for simultaneous measurement
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biomarker, imaging, or laboratory-based studies and working across NHS–University partnerships would be desirable. Diversity Committed to equality and valuing diversity Application Process You will be
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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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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 1 day ago
images and metadata of the same patient, leveraging context information. Profile 2 (P2) – Development of AI methodologies for the automatic extraction of physiological signals, namely ECG and respiratory