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Join a dynamic, world-class, collaborative science team at the intersection of Computer Science and Ecology. We are seeking a motivated individual to join the Boreal Plains Aerial Imaging research
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to develop data-driven, space-time explicit precision agronomic solutions Utilizing high-performance computing (HPC) systems for large-scale geospatial data processing, model training, and validation Designing
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via GitHub repository) in statistical analysis and modelling using R or Python with open source code Experience with high performance computing environments, particularly Digital Alliance Canada
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prepare accurate field notes. Conduct basic descriptive statistics Transcription and preliminary analysis. Transcribe and clean up audio recordings, perform initial coding with NVivo, or interpretive
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insights that support climate adaptation strategies and ecosystem-based management. This work is part of the Global Water Futures Observatories (GWFO) program, Canada’s premier freshwater research network
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training and guidance to junior undergraduate and graduate students. Education: A PhD in Neuroscience, Computational Neuroscience, Machine Learning in image analysis, or a related field, with significant
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the Department of Critical Care. They will be expected to perform literature searches, scoping reviews, and systematic reviews. Responsibilities may also include obtaining informed consent, enrolment, and
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various cow-calf operations to collect runoff samples and site characteristics. Perform hydrological modelling to: Collaborate with cattle producers and the Saskatchewan Ministry of Agriculture to implement
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. Effective written and verbal communication skills Organizational skills, especially related to time management and task prioritization Proficient computer skills, including with online data collection tools
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. Effective written and verbal communication skills. Organizational skills, especially related to time management and task prioritization. Proficient computer skills, including with online data collection tools