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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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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 2 months 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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Studies Course description: The use of proxy data (terrestrial and aquatic microfossils) to infer past environmental conditions. The nature and extent of Quaternary environmental change is considered in
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experience Minimum five (5) years recent and related experience Experience in applied statistics (multivariate models and distributions, jump processes, inference), e.g. simulation tools such as Monte Carlo
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, MD, Goals & Objectives, funding letters and CVs to ensure they meet the appointment standards set out for CPSO licensure & IRCC work permits. You will also be responsible for tracking work permit and
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of equivalent experience. Minimum two years of recent and related front-line customer service experience, preferably in a university environment. Experience with record keeping, tracking and maintaining
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dynamic team and help to support the design, implementation, evaluation, andmonitoring of the CODE project using a participatory approach. Your strong project coordination will enable you to track and
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development and grant writing with a track-record of success. Experience with assessment of research impact including performance evaluation and benchmarking of research initiatives or projects. Ability
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. Demonstrated experience in managing teams and driving initiatives that enhance operational efficiency through the optimization of business processes and effective use of data and technology. Proven track record