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develop and apply advanced preclinical model systems in lymphoma—including organoids, patient-derived xenografts (PDX), and humanized mouse models—to enable functional genomic approaches and the testing
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
? Comprehensive Postdoctoral Training: This collaborative project presents an outstanding platform for comprehensive training in an array of advanced methodologies such a next-generation sequencing, droplet digital
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MRI (fMRI) analysis and Dynamic Causal Modeling (DCM). CEYMH is dedicated to advancing youth mental health through a combination of innovative research, clinical service delivery, and training of future
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-temperature field theories, numerical modeling, and hadronic phenomenology. McGill’s Department of Physics has research groups active in most areas of modern physics. Applications, including a complete CV (with
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Vision Group (PVG) at McGill University and Mila—Quebec Artificial Intelligence Institute, led by Prof. Tal Arbel, seeks Postdoctoral Fellows to advance causal-temporal and probabilistic modeling, 3D
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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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in live or fixed organisms, cells or tissues - Experience with data analysis in Python, R or similar - Experience working with animal models AND - Experience with mass spectrometry, including sample
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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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Status Reports to the Principal Investigator (Dr. Leluo Guan). Will work with Post-Doctoral Fellows to establish omics data storage, transfer and management, and develop machine learning models