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at Duke University PREFERRED: o Experience with marine science and/or tropical environments; o Experience working with GitHub or other version-control platforms; o Experience working in large teams with
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to utilize EBV and HIV-1 infection data together with multiscale ABM simulations to identify key mechanistic drivers of viral persistence and immune response, and use SciML to automatically select ODE/PDE
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microfluidic analogs of phloem sieve plates and other plant hydraulic elements. Conduct controlled flow-pressure experiments to evaluate aspects of the theoretical predictions and quantify resistance mechanisms
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for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should include MATLAB, Labview, Python and/or C
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simulations to identify key mechanistic drivers of viral persistence and immune response, and use SciML to automatically select ODE/PDE models that include these mechanisms. The postdoc will develop
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, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control the dynamics of microbial communities in time and space. Ongoing projects
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Summary We are seeking a highly motivated postdoctoral associate to join our research team investigating the role of diet on hypertension, weight control and other health markers. This position is an
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Rubin Observatory, LSST DESC and Roman PITs to prototype shared tools and standards ● Contribute to open-source software infrastructure with reproducible workflows and proper version control ● Optionally