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Bison Integrated Genomics and Assisted Reproductive Technologies for Germplasm Biobanking (BIG ART) Primary Purpose: Bison are an integral part of the ecology of Canadian national parks. Parks
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 2 months 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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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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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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large-scale, custom-designed digital signal processing readout system for the ATLAS experiment located at the CERN laboratory in Switzerland. Develop a prototype hardware implementation of different
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(Compute Data) Efficient at working with large datasets and synthesizing scientific literature Project management Self-motivated and deliverable-oriented Ability to work both independently and as part of
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Council of Canada). The research will focus on applying, developing, and implementing novel statistical methods for causal inference, integrative data analysis, and machine learning with large
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. Qualifications: A doctoral degree in epidemiology Knowledge of advanced epidemiologic methods Strong data manipulation and analytic skills using statistical programming software, e.g., SAS Demonstrated ability
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participating in the collaborative development of: (1) spatially explicit baseline data of cropping practices, including identification of representative crop rotations, and (2) spatially explicit baseline
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nitrogen module in the Global Change Analysis Model (GCAM). The McGill-based postdoctoral researcher will have a particular focus on synthesizing and harmonizing existing subnational data (including through