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Field
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adults. We use various brain mapping techniques (EEG, MRI, intraoperative electrophysiology) and sensors to record simultaneous brain activity and movement during simple computer and walking tasks or in
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applications with SKA , to space-geodetic imaging for Earth reference frame determination, and fast dynamic magnetic resonance imaging (MRI) in medicine. TomoGrav is supported by 10 world-renowned partners from
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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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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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resonance imaging (MRI) or focalized X-ray irradiator devices will be a plus. Experience on bioinformatic analyses (WES/WGS, (sc)RNA-Seq, ChIP-Seq, ATAC-Seq, Proteomics, Spatial Transcriptomics) and/or R
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connectivity analysis and structural MRI data analysis. Strong background in neuroscience and psychology. Experience working with clinical datasets, neuropsychological assessments, and pathology-related
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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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of working in the field of stroke genetics and have a good understanding of the MRI endpoints which we use in analysis. The post offers an opportunity to join one of the internationally leading groups in
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facilities through the Center for Biomedical and Brain Imaging and the Delaware Center for Cognitive Aging Research, including a 3T Siemens Prisma MRI scanner, a 9.4T Bruker MRI scanner, and a new 3T Siemens
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flow cytometry, confocal microscopy, MRI/PET imaging and bioinformatics tools. • Work with team members across different disciplines such as chemistry, biology, neurosurgery and engineering