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for 2-3 referees who will be able to provide a letter of reference within 5 business days upon request. Applications should be submitted online at https://ubc.wd10.myworkdayjobs.com/ubcfacultyjobs
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. Applications should be submitted online at https://ubc.wd10.myworkdayjobs.com/ubcfacultyjobs Review of applications will begin on October 1, 2026 and continue until the position is filled. Please apply as soon
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 3 hours ago
participate in qualitative and quantitative data collection, data management, analysis, and mixed-methods integration. Work collaboratively with research assistants, trainees, community-based research personnel
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. Parameterizing a spatial prioritization approach for perennial features in agricultural landscapes to maximize landscape multifunctionality; 3. Creating a digital tool or dashboard for project partners to help
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scientific and data quality standards for AI-generated outputs, ensuring contributions meet clinical and technical standards. • Help define data engineering practices, testing strategies, and quality standards
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contribute to other ongoing projects in the lab, and assist with training junior lab members. We are looking for a motivated, well-organized candidate who enjoys collaborative, cross-disciplinary research and
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position leading to permanency. To Apply Please submit the following no later than October 15, 2026. Cover Letter Detailed CV Single-authored writing sample, written without the help of AI (please include
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data on the benefits of perennial features in the Lower Fraser Valley, including supervising and managing a small group of undergraduate research assistants to collect these data; 2. Integrating and
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supervising and managing a small group of undergraduate research assistants to collect these data; 2. Integrating and synthesizing biodiversity and ecosystem service field data from individual PERCS project
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research assistants within the laboratory. Contribute to establishing a collaborative, inclusive, and scientifically stimulating research environment. Supervision Received The candidate will work under the