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are: Create favourable circumstances for the development of a field of research and a community of research on access to justice for OLMCs Produce scientific data for and with the access to justice stakeholders
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closely with researchers at McGill and partners worldwide, leveraging industry-standard tools and technologies to ensure the quality and reliability of the developed systems. Qualifications: PhD in
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 8 days ago
fishing strategies, adhering to key sustainability rules. The models will be fitted with data on fish population dynamics, and bioeconomic recommendations will be developed. The project will aim
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Loading / Chargement... Help Dashboard Dashboard Dashboard Recruiter Login English English We are sorry this posting does not have information in your chosen language Postdoctoral Researcher Job ID
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
experience, initiative, communication skills, and personal suitability. Further information This is a full-time employment limited to 2 years, with a possible extension for up to one additional year. The
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allows for translation of novel methods to our cancer clinics in Canada (Vancouver, Victoria, and Kelowna) and beyond. Requirements: The ideal candidate will have a PhD in computational modeling/oncology
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 11 days ago
fluorescence data. Developing machine learning methods to optimize data collection. In addition, the project is committed to developing open source tools that benefit the imaging community. The applicant will
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risk while maintaining critical forest ecosystem services such timber, biodiversity, and wildlife habitat. The project will leverage data and infrastructure from the operational-scale Adaptive
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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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Minimum Qualifications - PhD in ecology, remote sensing, environmental sciences, or a related field - Strong quantitative skills, including ecological data analysis, statistical analysis and data management