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climate shocks to natural disasters. Important note: Our team does not conduct wet lab research. This is NOT a laboratory-based (bench science) fellowship. PERL operates across three core pillars: Science
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the project to the advancement of sports science, and specifically endurance sports (if applicable), b) the alignment with the supervisors’ program of research, c) the resources available
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the resource constraints of the future electronics readout system. Collaborate closely with researchers at McGill (in both the Departments of Physics and in Computer and Electrical Engineering) and partners
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electrochemical monitoring with high-resolution surface analysis to support pipeline integrity assessments and material reliability in transport infrastructure. - Improve scientific communication through high
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 2 months ago
to an external open-science steering committee with expertise in microscopy to ensure project outputs follow best-practices for open-source science. Qualifications: 1. The applicant should have a PhD or equivalent
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | about 20 hours ago
scientific manuscripts tied to your research. Keep detailed and organized records of experiments, protocols, and both raw and analyzed data per lab standards. Ensure the workspace is organized, clean, and
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statistical modeling approaches. Support the integration of implementation science methods to improve the translation of research findings into clinical practice. Assist in the development of guidelines and
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to write clearly and logically in English to produce high quality articles Demonstrated scientific rigour and the ability to synthesize and summarize Experience with large databases Strong organizational and
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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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with multivariate statistics, machine learning, and/or remote sensing would be an asset. Experience and education: Ph.D. degree in geography, agriculture/agronomy, environmental science, or a related