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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 6 hours ago
to work independently, e.g., experience presenting research; experience supervising students Computer skills include mastery of programming languages (Fortran, R, Python, MATLAB) Modelling packages
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learning models, including their strengths, deficiencies, and strategies for (hyper)parameter optimization. Prior use of Bayesian optimization or other relevant active learning algorithms is preferred
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 1 month ago
- Population Genetics Course Description: This course introduces students to the genetic variation between and within populations. The topics include evolutionary forces, quantitative genetics, and Bayesian
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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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of existing algorithms and also to provide estimates of how this performance changes with different implementations, including predicted future hardware. Object identification and tracking can often be made