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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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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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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
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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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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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of the world's leading universities, the University of British Columbia creates an exceptional learning environment that fosters global citizenship, advances a civil and sustainable society, and supports