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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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many-body physics, spin dynamics, quantum simulation, quantum optimal control, quantum optics, atomic physics. Required Skills: PhD in a field of research related to experimental quantum physics Broad
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, quantum many-body physics, spin dynamics, quantum simulation, quantum optimal control, quantum optics, atomic physics. Required Skills: PhD in a field of research related to experimental quantum physics
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nonlinear optics. The PDF will work in a team with graduate students. Required Skills: Experimental quantum optics, non-linear optics, ultra-fast optics, quantum communication and sensing protocols Number
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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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with high-performance computing clusters. Experience in using different libraries such as RDKIT, DeepChem, Scikit, and Numpy. Experience working in bioinformatics techniques including phylogenetics
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interested in candidates who, through their research, teaching, and/or service, will contribute to the diversity and excellence of the academic community. These PDF positions are made possible thanks in part
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who, through their research, teaching, and/or service, will contribute to the diversity and excellence of the academic community. These PDF positions are made possible thanks in part to funding from
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interested in candidates who, through their research, teaching, and/or service, will contribute to the diversity and excellence of the academic community. These PDF positions are made possible thanks in part
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to the diversity and excellence of the academic community. These PDF positions are made possible thanks in part to funding from the Canada First Research Excellence Fund . Apply Equity Statement The University