5 modal-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

University of Waterloo | Canada | 3 months ago

: 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)

University of Waterloo | Canada | 3 months ago

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

University of Waterloo | Canada | 3 months ago

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

Opening - Postdoctoral Fellowship, Quantum Simulation with Rydberg Atom Arrays (Experiment)

University of Waterloo | Canada | 3 months ago

Cooper-Roy and advised by Dr. Jim Shaffer and Prof. David Cory. If you are interested in learning more about our research activities and/or applying to the position, please reach out directly to Alexandre

Opening - Postdoctoral Fellowship, Quantum Simulation with Rydberg Atom Arrays (Theory)

University of Waterloo | Canada | 3 months ago

materials. The group of 8-10 undergraduate and graduate students is led by Dr. Alexandre Cooper-Roy and advised by Dr. Jim Shaffer and Prof. David Cory. If you are interested in learning more about our