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pipelines, proficiency in genomic association analyses, particularly involving large-scale datasets, and familiarity with cloud computing and/or high-performance computing (HPC) environments
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The University of Toronto’s Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a program of Schmidt Futures, brings together the brightest minds who have completed a PhD in the natural
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employment, Toronto Metropolitan University is implementing this program with the goals of building a more diverse and inclusive academe, and supporting the flourishing of Black scholarship. In particular
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pipelines, proficiency in genomic association analyses, particularly involving large-scale datasets, and familiarity with cloud computing and/or high-performance computing (HPC) environments
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comprehensive innovation university. Integral to this path is the placement of equity, diversity and inclusion as fundamental to our institutional culture. Our current academic plan outlines each as core values
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computing and/or high-performance computing (HPC) environments for bioinformatics workflows. The successful candidate must exhibit excellent communication skills; a demonstrated potential for excellence in
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with whole-genome or exome sequencing pipelines, proficiency in genomic association analyses, particularly involving large-scale datasets, and familiarity with cloud computing and/or high-performance
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the acquired data, and prepare a report; c) Prepare a CFD model of a boiler burner for combustion analysis, apply reacting flow models, perform computation, study propensity to flash-back, calculate noise
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degree (M.D., Ph.D. or equivalent) and must be in a research-oriented postdoctoral training program at an academic, government, or non-profit research institution. Applicants must have more than two years
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and/or internal scholarship funding awarded through a university‐wide competition, if applicable) or until the end of the fifth year of their doctoral program, whichever comes first. Application