-
. Prior exposure to experimental data from photon-counting or time-resolved detectors. Experience with Bayesian methods, uncertainty quantification, or real-time data processing. Familiarity with
-
development and is the nexus of a broad collaboration network. Each year, CFN staff members support the research of nearly 600 external facility users. Three strategic nanoscience themes underlie the CFN
-
—an essential characteristic for replicating neural network behavior. The position offers a unique opportunity to engage in cutting-edge research at the intersection of quantum materials and advanced electron
Searches related to bayesian network
Enter an email to receive alerts for bayesian-network positions