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MRI systems or multi-shell diffusion modeling, and hands-on experience with neuroimaging software such as FSL, ANTs, SPM, or AFNI, will also be considered advantageous. A demonstrated interest in
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Brofft, Senior Recruiter at xmf9ad@virginia.edu . For information on resources for postdocs at UVA, visit https://postdoc.virginia.edu/ . For more information on the Charlottesville community please see
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position. For information on resources for postdocs at UVA, visit https://postdoc.virginia.edu/ . This position is based in Charlottesville, VA, and must be performed fully on-site. To learn more about UVA
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science of science, network science, and natural language processing. As part of a small research team, the postdoc will help lead efforts to provide a quantitative model of global competitiveness
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learning algorithms on graphs to model, characterize, predict, and design the thermal and physical behaviors of diverse material systems. Responsibilities also include the development of software codes
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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world