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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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Grant (ORF-RE (external link) ). The SSHRC-funded project was launched in 2021 and the objectives of this research are to: 1) expand conceptual models for intergenerational partnerships; 2) investigate
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Grant (ORF-RE (external link) ). The SSHRC-funded project was launched in 2021 and the objectives of this research are to: 1) expand conceptual models for intergenerational partnerships; 2) investigate
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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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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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have expertise in working with animal disease models, single-cell and spatial RNA sequencing technology, and a solid understanding of the CNS immune landscape. Additionally, applicants should have at
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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