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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 16 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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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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. 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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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 16 hours ago
balanced lifestyle. Our total compensation package includes a voluntary RRSP, health and dental plans, a wellness allowance, an employee and family assistance program and a tuition assistance program
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 16 hours ago
support for the purpose of accommodation, such as technical aids or alternative arrangements, please let us know of these needs and how we can be of assistance. Dalhousie University is committed to ensuring
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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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research assistants within the laboratory. Contribute to establishing a collaborative, inclusive, and scientifically stimulating research environment. Supervision Received The candidate will work under the
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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