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: 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
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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
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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
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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
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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