-
remodeling and conformational engineering De novo and semi-rational enzyme design Directed evolution theory and workflow development Library design strategies (focused, combinatorial, and machine-learning
-
uterine artery and placentas and novel primary vascular cell models from these tissues and to learn a variety of perinatal vascular biology research skills such as functional proteomics to analyze protein
-
Monitoring Drift Chambers (MDT), and in the Event Filter track trigger (EFTracking). The group applies novel Machine Learning tools and techniques to both analyses and trigger upgrades, and leverages FPGA and
Searches related to machine learning phd
Enter an email to receive alerts for machine-learning-phd positions