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to understand the needs, experiences and challenges of people with rare musculosleketal conditions. Conduct quantitative analysis on functional outcomes for descriptive and modelling purposes. Partner with
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: Synthesize small molecules, produce samples of proteins and nucleic acids Characterization using a variety of biophysical methods including in silico modeling, ITC and UV-Vis spectroscopy Perform medicinal
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with PERL’s mission Our Science & Evidence learning tracks: Pandemic prevention & risk anticipation (e.g. primary and secondary prevention, surveillance innovation, spillover risk modeling, zoonoses
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approaches (based on functional programming abstractions) to optimize the implementation of machine learning models and other digital signal processing algorithms on a specific FPGA architecture to fit within
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shaping justice access? Systemic and structural issues: How do funding models and institutional practices affect the delivery of bilingual legal services? What are the structural causes of linguistic
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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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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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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