3 machine-learning Fellowship positions at University of Waterloo in canada

Opening - Postdoctoral Fellowship, Machine learning/deep learning model development for biomolecular data analyses and prediction

: Machine learning/deep learning model development for biomolecular data analyses and prediction Research Area: Data science and computational chemistry Required Skills: A Ph.D. in relevant field within

Opening - Postdoctoral Fellowship, Solid-state analog Optimization Solver and Quantum Machine Learning (Theory)

contribute to the collaborative TQT research community. Principal Investigator: Na Young Kim Project Name: Solid-state analog Optimization Solver and Quantum Machine Learning (Theory) Research Area

Opening - Postdoctoral Fellowships, Quantum Navigation

collaboration with industry partners. This work will apply optimal control theory, including machine-learning algorithms and Bayesian estimation, to coherent control of nitrogen-vacancy centers in diamond