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Application Materials: Please submit the following materials to bridgelab@stanford.edu (link sends e-mail) with the subject line "Imaging Postdoc Application" Applications are reviewed on a rolling basis. Does
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. Reviews study database to make sure all data has been entered. Running developed scripts from image processing and analysis under PI and Postdoc fellow supervision. Assessing basic cognitive function and
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reconstruction, processing, synthesis, and registration, as well as AI for treatment outcome prediction and clinical decision making. The projects will involve using multi-modality images (CT, CBCT, MRI, PET
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-, outcome- and sensory-guided actions, and how these processes are disrupted in genetic neurodevelopmental disorder models, including autism, OCD, ADHD, and intellectual disability. Postdocs will work in a
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… Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications Your profile PhD degree in physics or similar natural science discipline, signal/image processing, or engineering Interest
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) Positions Postdoc Positions Application Deadline 20 Mar 2026 - 23:59 (Europe/Warsaw) Country Poland Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Apr 2026 Is the job funded through
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consideration. Questions relating to the application process should be directed to Jeremy Brofft, Senior Recruiting Specialist, xmf9ad@virginia.edu . For information on resources for postdocs at UVA, visit https
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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, machine learning, multiscale and multiphysics simulation, computational anatomy, medical image analysis, and integration of wearables and biosignal processing, applied to conditions ranging from cardiac
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transcriptional regulation from multi-omics data; computational method development for single-cell epigenomic sequencing and image-based spatial-omics data analysis; computational and experimental studies