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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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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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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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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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, and work in collaboration with other team members; Train new graduate students; Contribute to group duties and help others; Qualifications: PhD in Chemistry Before applying, please note that to work
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science, SECCM, and electrochemical instrumentations. Qualifications: PhD in Chemistry Before applying, please note that to work at McGill University, you must be both authorized to work in Canada and
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closely with researchers at McGill and partners worldwide, leveraging industry-standard tools and technologies to ensure the quality and reliability of the developed systems. Qualifications: PhD in
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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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working with Environment Canada to build better species distribution models that include species interactions and connectivity. The postdoc will develop professionally by learning new statistical techniques
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and characterization of products (HPLC, PAGE, UV, NMR, CD) Conduct in vitro, and cell-based assays Work with and assist graduate and undergraduate students Participate and present at group meetings