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mentorship team with clinical, epidemiological, machine learning, and statistical expertise. The position is funded by a grant from the NIH/NIAID (R01AI135114), though opportunities for additional projects in
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theoretical research on magnetic and topological properties in van der Waals materials using Density Functional Theory (DFT) calculations, tight-binding and machine learning methods. Provide theoretical
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transfer (CHT) or fluidic manifold optimization Experience with machine learning/AI (PyTorch or TensorFlow), reduced-order modeling (ROM), or data assimilation (DA) Experience with GPU programming (CUDA and
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status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu Employment Requirements Any offer of employment is contingent upon
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an academic setting or in industry. Visa sponsorship is not available for this position. Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays
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, ventriculomegaly). Experience in machine learning statistical methods. Experience in the acquisition of infant neuroimaging data. Prior experience working with infants and children in a research setting. Enthusiasm
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models motivated by biological and therapeutic applications are particularly encouraged to apply. Expertise in statistical or machine-learning methods is also welcome, as connection with experimental and
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independently operate 3T and 7T scanner consoles Learn the CNS Lab developmental neuroimaging standard operating procedures o Follow and assist with development of research protocols to ensure adherence to and