Sort by
Refine Your Search
-
with PERL’s mission Our Science & Evidence learning tracks: Pandemic prevention & risk anticipation (e.g. primary and secondary prevention, surveillance innovation, spillover risk modeling, zoonoses
-
approaches (based on functional programming abstractions) to optimize the implementation of machine learning models and other digital signal processing algorithms on a specific FPGA architecture to fit within
-
collaborate with early career researchers, Northern partners including Indigenous communities, and international experts to analyze data and integrate findings into broader ecological models, enhancing our
Searches related to model checking
Enter an email to receive alerts for model-checking positions