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the field of optics and photonics. The team is working in the Photonic axis and is developing novel optical imaging techniques for biology. In particular, Pierre Bon is developing novel label imaging
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(particularly Deep Learning), will also make it possible to leverage the collected data to enrich knowledge of ovine behavior. The candidate will join a dynamic research group within the Image/Vision team
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Imaging in the Department of Radiology, University of Miami Health System and Leonard M. Miller School of Medicine, is seeking a fellowship-trained candidate for a full-time faculty position at the level of
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the Core facility for Integrated Microscopy (CFIM). CFIB currently offers open access services on a broad range of bioimaging technologies; including preclinical in vivo NMR imaging, multiphoton intra
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past successes: https://europepmc.org/article/MED/35021063 , https://europepmc.org/article/MED/31819264 , https://europepmc.org/article/MED/31561945 , https://europepmc.org/article/MED/39747019 , https
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foundations of the understanding of animate and inanimate nature and the foundations of of natural science research that forms the paradigm of a particular historical epoch natural science. The history of each
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Job Description University of Washington Medical Center – Northwest – Radiology - BREAST IMAGING CLINIC has an outstanding opportunity for a MAMMOGRAPHY TECHNOLOGIST. WORK SCHEDULE • Per Diem • Day
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electrodes using various electron microscopy techniques (e.g. FIB-SEM); (ii) Reconstruction of the 3D structure through image analysis; (iii) Analysis of images from new and aged membrane-electrode assemblies
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in consultative and outpatient cardiovascular care with non-invasive imaging (echo). Opportunity highlights: · Join an 8-person general cardiology and advanced imaging group which has rapidly expanded
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 20 days 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