57 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral positions in Canada
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | 3 months ago
: · PhD in Mathematical Biology, Ecological Modeling, Economics, Fisheries Science, or a related field. · Strong background in ecological and/or economic modeling, population dynamics, and quantitative
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explored. These strategies will be evaluated on cellular and mouse disease models, in order to determine whether APP editing can reduce pathogenic effects caused by amyloid-beta. In addition to gene editing
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from correcting disease-causing mutations, the potential of introducing protective mutations will be explored. These strategies will be evaluated on cellular and mouse disease models, in order to
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 2 months ago
, mathematics, and data science. Collaborative projects merge traditional geographic research with advanced computational methods such as graph neural networks (GNNs) and large language models (LLMs) to explore
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allows for translation of novel methods to our cancer clinics in Canada (Vancouver, Victoria, and Kelowna) and beyond. Requirements: The ideal candidate will have a PhD in computational modeling/oncology
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) Postdoctoral Researchers are Research Fellows recognized by the Quebec government employed at McGill with a valid Doctoral degree (PhD or MD) for a maximum of 5 years after obtaining their Doctoral Degree
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molecular biology and biochemical technics such as western blot, yeast genetics, qPCR, microscopy, and mammalian cell-based assays. Assist in data interpretation by summarizing and preforming statistical
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process design, computational modeling, and techno-economic analysis. The start date for the position is 1 October 2025, or shortly thereafter. The salary for the position is $50,000 per year. We encourage
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with PERL’s mission Our Science & Evidence learning tracks: Pandemic prevention & risk anticipation (e.g. primary and secondary prevention, surveillance innovation, spillover risk modeling, zoonoses
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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