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project that combines insights from physics/engineering (imaging and image processing of MRI and light-sheet microscopy), biological and medical sciences (tissue microstructure, immunostaining, and
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processing of MRI and light-sheet microscopy), biological and medical sciences (tissue microstructure, immunostaining, and neuroscience), and computer science (data analysis, machine learning, and artificial
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in the field of musculoskeletal magnetic resonance imaging Position Background: Magnetic resonance imaging (MRI) is key for diagnosing musculoskeletal (MSK) injuries and monitoring after therapy
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and neurodegeneration is not established yet. The project will use high resolution MRI data acquired with a 7 Tesla apparatus to examine functional and quantitative MRI of the diencephalon (thalamus
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processing of MRI and light-sheet microscopy), biological and medical sciences (tissue microstructure, immunostaining, and neuroscience), and computer science (data analysis, machine learning, and artificial
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. ADAMI is a highly interdisciplinary project that combines insights from physics/engineering (imaging and image processing of MRI and light-sheet microscopy), biological and medical sciences (tissue
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of MRI and light-sheet microscopy), biological and medical sciences (tissue microstructure, immunostaining, and neuroscience), and computer science (data analysis, machine learning, and artificial
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of MRI and light-sheet microscopy), biological and medical sciences (tissue microstructure, immunostaining, and neuroscience), and computer science (data analysis, machine learning, and artificial
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the European Union. ADAMI is a highly interdisciplinary project that combines insights from physics/engineering (imaging and image processing of MRI and light-sheet microscopy), biological and medical sciences (tissue
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treatment response following a sensori-motor programme to improve bimanual motor control and learning. Hereto, we will implement behavioral assessments, diffusion MRI and Transcranial Magnetic stimulation