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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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management.•Primary knowledge areas include wildfire ecology, forest ecology, disturbance ecology, remote sensing, silviculture, and habitat modelling.•The PDF will work with a team to develop data layers and
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dynamics in models of brain injury and neurodegeneration (amyotrophic lateral sclerosis / ALS and Alzheimer’s disease / AD). Projects will involve in vivo multiphoton imaging of glia, vascular, perivascular
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geospatial modelling of agricultural management practices across Canada, particularly those related to fertilizer use and cropping practices. As part of this, the postdoctoral researcher will contribute
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type 1 diabetes. This will involve adding genes that will protect beta cells from stress, inflammation and adaptive immunity. These modified cells will first be tested by transplantation into models
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for vocal learning and performance, songbirds are powerful animal models to reveal the neural mechanisms underlying vocal motor learning and control, including the contribution of PNNs and PV neurons to vocal
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macaque monkey models, and benefit from collaborations with human-focused research groups through our Canadian platform Can-Stim. Here is a full list of our published work. The project: The PhD candidate
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nitrogen module in the Global Change Analysis Model (GCAM). The McGill-based postdoctoral researcher will have a particular focus on synthesizing and harmonizing existing subnational data (including through
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for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future
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, imaging techniques, and modeling of complex systems have created opportunities for exciting research careers at the interface between the physical/ computational sciences and the biological