ML Pipeline Engineer: Ramp-Up Estimation
pPolitecnico di Milano invites applications for a research fellowship in Engineering. The project focuses on upgrading machine learning based pipelines to estimate ramp-up duration in indoor environments, implementing a sliding window training scheme, and optimizing training window size. /ppApplicants will undergo an oral test to assess aptitude and English proficiency, and evaluation covers publications, theses, and prior research related to the fellowship. /p #J-18808-Ljbffr