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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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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
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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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. Collaboration with other PhD students, postdocs, and senior researchers from the involved universities will allow us to integrate mathematical and physical models of the data to address the larger project goals
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tundra ecosystems and their role in conferring resilience across the biome. By integrating satellite imagery, aerial photographs, drone data, and in-situ measurements from key research sites across
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research in cardiovascular and autonomic (i.e., bowel, bladder, sexual and cardiovascular) dysfunctions following SCI. Candidates should have a MD, MD/PhD, or PhD in neuroscience, neurophysiology
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cardiovascular) dysfunctions following SCI. Candidates should have a MD, MD/PhD, or PhD in neuroscience, neurophysiology, kinesiology, or cardiovascular and vascular biology. Interested candidates must be self
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, including: - International Tundra Experiment phenology dataset - Cross-site time-lapse photography (phenocams) - Remote sensing data from a variety of satellite platforms You will quantify shifts in plant
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developed a multi-disciplinary laboratory that is internationally recognized for expertise in autonomic research. A position is open for a postdoctoral fellow with a PhD in neuroscience, biomedical
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autonomic research. A position is open for a postdoctoral fellow with a PhD in neuroscience, biomedical engineering, or a related discipline, and a strong interest in neuroscience, cardiovascular and vascular