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/ External / View Profile U of T Employee Sign In More Filter Options: Campus and Job Category Loading... Clear Create Alert Apply now » Sessional Lecturer - MMF1922H1F: Data Science (Section LEC
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/ External / View Profile U of T Employee Sign In More Filter Options: Campus and Job Category Loading... Clear Create Alert Apply now » Associate Professor/Professor - Data Science Computation Date
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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 23 hours ago
well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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variety of methods, including comparative document analyses, quantitative descriptive and association studies, complex systems analyses, automated extraction data analysis and methods-needs matching
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Course Description & Learning Objectives: Bayesian methods are important tools for applied statisticians, biostatisticians, and data scientists. They provide a flexible framework for quantifying
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and doctoral student research assistants to conduct coding and analyses of data. For more on NCPC, visit the NCPC website . Specifically, we seek a scholar with a strong commitment to community
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with accreditation tasks, data collection, data reporting, and technology support. The position involves data management (both quantitative & qualitative), managing a small number of databases
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between hosts. We have developed several Nextflow pipelines for analysing data at scale and in a reproducible manner, and are now ready to apply them to the wealth of genomic, phenotypic and metagenomic
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, behaviour, and psychological constructs across multiple survey waves, samples, panel providers, and countries. PPBS maintains linked codebooks, data-processing workflows, reproducible reports, a public
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<span lang="en">Universitätsklinikum Hamburg-Eppendorf</span> | Hamburg, Hamburg | Germany | 12 days ago
lie either on the integration and analysis of spatial omics data or on deep learning methods that exploit the higher-order structure of tissue, with the two projects closely linked. Methods will be