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, including parsing and processing large document corpora. Strong understanding of machine learning or AI methods applied to health or biomedical data. Demonstrated ability to assess model outputs, identify
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, Bioconductor, tidyverse, SingleCellExperiment, or related software. Experience with Python and machine learning approaches is considered an asset. APPLICATION PROCEDURE Applicants should submit: Cover letter
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Columbia (UBC) Vancouver campus invites applications for a full-time Postdoctoral Research Fellow with expertise in artificial intelligence (AI), machine learning (ML), and data science. The position will be
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of many teaching and research awards, with strengths in the Department including algorithms, artificial intelligence and machine learning, data science, bioinformatics, computational neuroscience
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
Earth Science or a related field, experience in the field of Glacial Geology or Glacial Sedimentology, University teaching experience preferred, familiar with instructional computer technology (i.e
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questions. Implements and adapts machine learning and AI-based approaches for high-dimensional epidemiological data, including variable selection, prediction modelling, and data integration. Retrieves
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Assistant Professor- Health Informatics and Translational Digital Health Systems and Policy Research
of Health Policy Management and Evaluation, the DLSPH houses the graduate unit of Public Health Sciences, the Waakebiness Institute for Indigenous Health, major initiatives related to Healthy Cities, Big Data
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or experimental data. Research expertise in causal machine learning, computational modeling, and single-cell multi-omics. Experience modeling mechanism of genome structural dynamics in clinical cohorts of patients
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 3 months ago
growing profession that embodies the use of computer-supported collaborative tools in the execution of business functions. In this course students engage with the principles of Computer Supported Co
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(macro). Advances in cutting-edge technologies such as Machine Learning, Natural Language Processing, and Generative Artificial Intelligence have paved the way to exciting opportunities to transform health