-
levels at harvest, we aim to develop predictive models, powered by deep neural networks, that can detect early signs of fungal infection and evaluate mitigation strategies such as soil amendments
-
-containment BSL-3 and BSL-4 laboratories utilizing a wide range of techniques such as in vitro and in vivo infection models, high throughput spectral flow cytometry, microneutralization, immuno-depletion and
-
of infectious diseases Experience in the use of scripting languages (e.g. python, R, bash, perl) Experience in multivariate statistical analyses, including generalized linear mixed models, and/or variants
-
the guidance of a mentor, your research will include assessing the biomedical and biological mechanisms of blast injury using in vitro and in vivo models as well as biological samples collected from human