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data algorithms. Experience in organizing, coordinating, and managing research projects as evidenced by a minimum of five grant-based research programs. A clear understanding of the academic research
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research that leverages big data, machine learning models and data algorithms. Experience in organizing, coordinating, and managing research projects as evidenced by a minimum of five grant-based research
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, sometimes from multiple jurisdictions, to achieve sample sizes appropriate for training algorithms. This creates challenges with data security and data flows (due to legislative restrictions). Further, data
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; or the training of a machine learning algorithm to read a digitized document written in an under-resourced language. Position description: The University of Toronto Libraries seeks a highly organized, flexible, and
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promising candidates with computational tools and machine learning algorithms, and elucidating structure-property relationships of emerging molecules, polymers, solid-state materials, formulations, etc. Tasks
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characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and
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characterize large quantities of candidate molecules, calibrating theoretical models with experimental data, predicting promising candidates with computational tools and machine learning algorithms, and
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and Abilities Knowledge and experience with bioinformatics algorithms and genomic data analysis pipelines Knowledge of software for genomic data analysis Education, Certifications, Licenses Education
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Studies (PhD) Teaching in the age of algorithms: Resisting the algorithmic order through co-created sociotechnical experiments View All Stories Further Information Allocations Funding will be allocated
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Costs box) Students who receive external funding (e.g., their home government, Canadian Commonwealth Scholarship, or other funding agencies like CIDA, WUSC, DAAD, CONACYT, CONICYT, NSF, etc