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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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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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Program research grant, this project brings together complementary expertise of the Zhulyn (Canada), Lagha (France), vanOudenaarden (Netherlands) and Kelleher (US) labs for a team-driven, multidisciplinary
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The Laboratory of Future Industry (LoFI), in the Mechanical Engineering Department at the University of British Columbia, is hiring a Postdoctoral Research Associate to work under the supervision
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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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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 3 months ago
. For those interested, there is also an option to learn and use in vivo cancer or diabetes models. Collaborative and Supportive Environment: You will collaborate closely with experienced scientists and
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We invite applications for a 1-year, full-time postdoctoral fellowship (non-renewable). This is an exciting opportunity for a dynamic, impact-driven scholar committed to reimagining global readiness
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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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have expertise in working with animal disease models, single-cell and spatial RNA sequencing technology, and a solid understanding of the CNS immune landscape. Additionally, applicants should have at