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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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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 | 6 days 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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: Conduct a systematic bolted flange research program. Experimental data on bolted joints and engine test data will be collected and analytical models will be developed for model verification and validation
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to the role of an Alzheimer’s disease susceptibility factor, CD33, in disease pathogenesis, as well as development of novel CD33-based therapeutics in this context (PMID:35940942). Transgenic models (PMID
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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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from mouse models to human patients. This platform uses a touchscreen-based cognitive testing system that enables the flexible presentation of comprehensive test batteries, bridging the gap between pre
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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
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. Collaboration with other PhD students, postdocs, and senior researchers from the involved universities will allow us to integrate mathematical and physical models of the data to address the larger project goals