8 network-coding-"Chung-Ang-University"-"Chung-Ang-University" Postdoctoral positions at University of Virginia
-
)—topics including, but not limited to: · Physics-informed neural networks (PINN) & neural operators · Physics-aware convolutional neural networks (PARC) · Meta-learning/transfer
-
cardiovascular treatments. In this role you will apply both machine learning predictive modelling and human genetic analyses of non-coding regulatory sequences to identify cell-specific targets for coronary artery
-
. 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
-
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
-
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
-
Ensuring professional learning organizations’ needs are met in a timely and responsive manner Leading the development of coaching resources Data analysis Coding interviews and other qualitative data sources
-
tracking) Memory and/or trauma Coding skills (e.g., Matlab or Python) Strong interest in psychical and past-life memory research; prior experience not needed Established research and publication record
-
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