Sort by
Refine Your Search
-
Listed
-
Field
-
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
-
breeding is the introgression of numerous identified disease resistance genes into single lines useful for further breeding and improvement through the development and use of rapid-cycling grape germplasm
-
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
Searches related to numerical modelling
Enter an email to receive alerts for numerical-modelling positions