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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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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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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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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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students - particularly those from equity-seeking groups - to business education, and advancing equity, diversity, and inclusion (EDI) in professional practice in Canada. The project addresses systemic
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group, founded in 2021, is dedicated to advancing our understanding of the neuronal mechanisms of learning and decision-making. We are particularly excited to recruit a promising scientist to investigate
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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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three years of faculty service. These awards are open to U.S. and Canadian citizens, permanent residents, or temporary residents. Scientific advances such as genomics, quantitative structural biology
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optimize sport performance, with preference for projects advancing endurance sport science. Foundational research projects that have indirect ties to sport will be considered if the applicant/supervisor