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methods. Collaborate within the institute and with external partners to push our assays toward medical countermeasure development efforts or far forward locations for biosurveillance to accomplish
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published many high impact papers in top scientific journals such as Science, PNAS, Phys. Rev. Lett., etc. Our approach is highly interdisciplinary, using emerging state-of-the-art methods from mathematics
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in the following areas: Deep Learning, Scientific Machine Learning, Stochastjc Gradiant Descent Method, and Numerical PDE’s - Advised by Dr. Yanzhao Cao Probabilistic Graph Theory (Network Traversal
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. Contribute to developing new models, techniques and methods Undertake management/administration arising from research Provide guidance, as required, to support staff and any students who may be assisting with