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funding. You will be responsible for the development of novel acquisition, reconstruction, image analysis and/or modelling methods for cerebrovascular magnetic resonance imaging (MRI) to improve
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developmental research protocols for pediatric populations with neurodevelopmental conditions Facilitating practice and behavioral preparation for MRI scans with participants, as well as with MRI data collection
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multimodal MRI data from children with NF1 using the Siemens Cima X scanner at Stanford’s Lucas Center for Imaging. The position sits at the intersection of advanced neuroimaging methods, longitudinal clinical
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-based reconstruction algorithms and image analysis pipelines. These approaches will provide highly efficient high-dimensional MRI image acquisition and reconstruction. We seek an enthusiastic and
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century. Join the Centre de Résonance Magnétique des Systèmes Biologiques (CRMSB ) – of the University of Bordeaux! This mixed research unit develops research themes in the field of MRI methodology and
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project that links processing speed measures to previously acquired functional and structural MRI data. The project will also involve simultaneously acquired and co-registered fMRI and EEG measurements
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, the researcher will evaluate reconstruction accuracy using established 2D diagnostic metrics, expert fetal cardiologist assessments, and uniquely matched MRI–ultrasound datasets. They will also assess
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection
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Send your CV along with a motivation letter to chloe.lehoucq@pasteur.fr with benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Neuroscience or Cognitive science and the
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employment are contingent upon formal conferral of the Ph.D. Preferred Education and Experience PhD in Psychology, Cognitive Neuroscience, Neuroscience, or related field Prior experience with experimental