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quantum information theory, algebraic topology, polyhedral combinatorics, graph theory, and optimization are strongly encouraged to apply. For more details on the project, visit open positions page . To be
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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL
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registration methods, and longitudinal quality-control frameworks. Experience with diffusion MRI analysis (tractography, microstructural modeling). Familiarity with functional-connectivity analysis and graph
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