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Simon Fraser University | Northern British Columbia Fort Nelson, British Columbia | Canada | 21 days ago
within it. SFU researchers explore natural phenomena on multiple scales from the subatomic to the cosmic, from a single gene to a multi-celled organism, and from single entities to complex interacting
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microscopy. The ideal candidate will be highly creative, hardworking, and a team player. They will also have the ability to manage multiple projects and students in pursuit of team goals. Representative
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, molecular properties, and pathological images. Strong knowledge and experience in data science algorithms, methods, and analysis techniques. Experience in programming using Python and R languages and working
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cultures drive research that reshapes our understanding of the universe and our place within it. SFU researchers explore natural phenomena on multiple scales from the subatomic to the cosmic, from a single
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; or the training of a machine learning algorithm to read a digitized document written in an under-resourced language. Position description: The University of Toronto Libraries seeks a highly organized, flexible, and
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designs and statistical analysis plans and leading integrative statistical analyses for multiple projects within Dr. Laura Schummers’s research team. The incumbent will perform and lead statistical analysis
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to present complex data in an accessible and actionable manner. Develop and apply machine learning algorithms to analyze data and extract meaningful insights. Implement real time monitoring and processing