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environmental data Processing and analyzing large-scale remote sensing datasets from UAV, satellite, and ground-based sensors Leveraging artificial intelligence, e.g. machine learning, reinforcement learning
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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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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 27 days 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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. The individual will assist study team members in conducting research studies aimed at investigating the microbiome and its correlates in neurodegenerative disease, and creating a repository of biosamples and data
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, selection, and request of supplies necessary for the project Manage and respond to project related email Field, Lab and Greenhouse related experiment design, execution and data collection (with a large focus
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motivated Neuroscience postdoctoral fellow. In addition to neuroscience research experience, having familiar with machine learning/AI/ big data processing will be an asset. A major part of this PDF
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research work by performing specific assigned tasks such as administering forms, recording and coding data, documenting observations, and identifying and conducting routine sample tests using standardized
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youth populations. The analysis will require advanced complex sample statistical data analyses of two large population-based health surveys: the BC British Columbia Adolescent Health Survey and the Health
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writing. Responsibilities will include: Conduct advanced multivariable statistical analyses of large-scale population-based data using SPSS Complex Samples and Mplus Draft and lead the submission process
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: Sleep equity reimagined: An intersectional theoretical framework to optimize sleep health for all Canadians (2023-2027) This project is a large, multi-disciplinary collaboration, funded through the CIHR