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, Physics, Engineering, or a related field • Prior experience in modeling viral infections, bacterial infections, and/or immune response dynamics • Experience with parameter estimation techniques and data
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Systems at the University of Tennessee Health Science Center (UTHSC) in Memphis, TN in the lab of Dr. Amber Smith. Postdocs will develop and analyze mathematical models of the immune response to influenza
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Systems at the University of Tennessee Health Science Center (UTHSC) in Memphis, TN in the lab of Dr. Amber Smith. Postdocs will develop and analyze mathematical models of the immune response to influenza
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to viral and bacterial infection in support of novel therapeutics. Primary responsibilities include experimental design and hands-on work processing blood and tissue samples from humans and animal models
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the COVID-19 pandemic, that age structure was a crucial modelling ingredient to make public health predictions (hostpitalisation peak, vaccination), anticipate viral evolution (variant dynamics) or understand
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health data and an understanding of how public health systems observe cases of disease and be able to develop models to represent these processes. Your strong interpersonal skills allow you to be
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characterizing a novel population of dendritic cells found in mice and humans, and the role of this population during viral immune responses. The SRA1 will also assist with the development of therapeutics against
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), an Institute for Technological Research (IRT Jules Verne), the National Institute of Health and Medical Research (Inserm) and several grandes écoles (Centrale Nantes, École des Beaux-Arts Nantes Saint-Nazaire
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to several companies and institutions. Prof. Beltra's group is studying the factors governing T-cell differentiation programs in settings of viral infections and cancers. Notably, we are particularly
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characterizing a novel population of dendritic cells found in mice and humans, and the role of this population during viral immune responses. The SRA1 will also assist with the development of therapeutics against