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Field
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ABIF can be found at: http://www.mcgill.ca/abif. Primary Responsibilities 1. Technical Development & Innovation Lead and document quality control (QC) workflows for ABIF imaging systems, including
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. ViCOROB is a research institute at the University of Girona focused on computer vision and robotics. It combines fundamental and applied research in areas such as underwater robotics, medical image analysis
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University of California Riverside School of Medicine | Riverside, California | United States | 4 days ago
contacting: aobenaus@medsch.ucr.edu We are recruiting for the following areas: Vascular physiology: This position will use modern in vivo imaging (miniscopes, 2-photon, magnetic resonance imaging
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surgery and augmented reality–enhanced robotic imaging. Duties & Responsibilities Conduct and support research in tele-robotic surgical systems and augmented reality–guided robotic imaging. Collaborate with
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://ichf.edu.pl/en https://hirszfeld.pl/en/ https://uwr.edu.pl/en/ https://euraxess.ec.europa.eu/ An unsuccessful candidate has the right to file a complaint about any action in the recruitment process. The appeal
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imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely connected
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You will: Lead a project on synaptic and circuit mechanisms underlying sensory processing in V1 Implement advanced in vivo approaches, including two-photon imaging, optogenetics, and/or
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omics data (genomics, transcriptomics, proteomics, metabolomics) and integrative multi-level analysis Experience in medical image processing and analysis (MRI, PET, digital histology, microscopy
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 21 days ago
of Biological and Medical Imaging (IBMI) at Helmholtz Munich and the Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) are an integrated, multi-disciplinary research unit, which
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities