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production or make recommendations as required. Participates in related day to day office administrative duties, such as, answering telephones, record keeping, filing, data entry, performing basic calculations
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
increasingly utilizes big data, satellite imagery, register data, and advanced methods such as deep learning and neural networks to address major societal challenges related to spatial inequalities and
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Thebault labs are seeking a skilled and motivated Research Assistant to support data analysis and pipeline development for cutting-edge research in neuroinflammation, multiple sclerosis, and
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-building skills are required; Highly organized with polished presentation, written, and interpersonal skills. Ability to collect, interpret, and present large volumes of qualitative and quantitative data
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within our HubMeta platform. The Postdoctoral Fellow will lead the data cleaning, measurement taxonomy development, and AI-integration phases of the project. Reporting to the Principal Investigator (Dr
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 23 hours ago
the Manager, Operations & Finance, the incumbent provides administrative and coordination support to large undergraduate courses within the department. This support includes responding to student emails
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collaborative, working closely with other research labs on large scale projects. Sources of data include large-scale datasets (All of Us, UK Biobank), internal BC-based projects (eg., Silent Genomes; Rare
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million held at DLSPH, the School contributes to improving population health and health policy and health systems through discoveries and innovation in data science and AI, maternal, child and reproductive
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analyses and modeling of large planetary data sets including visible and near-infrared imagery, synthetic aperture radar imagery, radar altimetry and LiDAR. The selected candidate will collaborate with
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to contribute to and expand research in planetary science in the Department of Earth, Ocean & Atmospheric Science. The position will involve quantitative analyses and modeling of large planetary data sets