-
) Availability to work a 40-hour workweek, b) Availability to work on-site at the Maison CNRS / Butantã Campus of USP, the University of São Paulo (Brazil); - Fluency in Portuguese and English; - Doctorate awarded
-
involve developing an approach that uses Knowledge Organization (KO) metadata and ontologies to optimize parallel processing and scheduling policies (via Kubernetes) for Machine Learning tasks. The fellow
-
Science, Computer Engineering, or a related field, completed before the fellowship start date. Candidates should demonstrate experience in at least two of the following areas: compilers, parallel programming
Enter an email to receive alerts for parallel "CNR" positions