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)—topics including, but not limited to: · Physics-informed neural networks (PINN) & neural operators · Physics-aware convolutional neural networks (PARC) · Meta-learning/transfer
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supporting evidence of completion date. Preferred Qualifications: Neuroimaging expertise, ideally with: EEG, fNIRS (including data collection and analysis) Young children Behavioral testing (including eye
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. This position offers a unique opportunity to contribute to high-impact, interdisciplinary research at the intersection of network science, global research competitiveness, and generative AI capabilities
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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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disease (CAD). You will apply expertise in data science, machine learning, as well as multi-omics integration to predict and validate functional regulatory networks in vascular cell types. This work will
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collaborations with investigators outside of UVA and encourage trainees to integrate into this collegial research network. For additional information about the position, please contact Dr. Finan, at finan
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centered on the history of race, justice, and equity in nursing and healthcare. With the aim of building professional research networks and community, the Fellow may choose to connect with one of the many
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within broader gene networks regulating islet autoimmunity. This project involves generating data from longitudinally collected human peripheral blood mononuclear cells at the single-cell level (CITE-seq