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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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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 17 days ago
to integrate these models with climate change and ecosystem-based management approaches to minimize the environmental and socio-economic impacts of fishing. The outcomes of this project will include refined
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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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, systems biology, applied mathematics, nuclear medicine physics, or a related field. Prior experience in at least one of the following is a requirement: physiologically based pharmacokinetic (PBPK) modeling
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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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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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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
more than 8 800 staff based in Lund, Helsingborg and Malmö. We are united in our efforts to understand, explain and improve our world and the human condition. Lund University welcomes applicants with
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silviculture, while also developing operational recommendations to improve wildfire resilience.The PDF will be based at the University of Northern British Columbia but will work collaboratively with researchers
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of Geography Job description: We seek a postdoctoral researcher based at McGill University to join an exciting interdisciplinary project, CanN2ONet (https://cann2onet.org/ ) — an NSERC-SSHRC funded collaborative
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dynamic and multidisciplinary team under the supervision of Dr. Francis Lynn. The successful candidate will work on a project developing cell-based therapies for those living with type 1 diabetes (T1D