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encephalitis, and related neurological disorders. The project combines human induced pluripotent stem cell (hiPSC) technology, brain organoids, genome engineering, advanced imaging, systems immunology, and high
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spatial analyses to identify and understand how landscape structure impacts multifunctionality. Position responsibilities will include: · Collaborating with project leads on research study design
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components to understand the impact of perennial agricultural features on landscape multifunctionality; 3. Completing spatial analyses to identify and understand how landscape structure impacts
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Lunenfeld-Tanenbaum Research Institute | Central Toronto Roselawn, Ontario | Canada | about 12 hours ago
genomics and spatial transcriptomics); advanced live-cell or super-resolution imaging; computational modeling of developmental trajectories; and the engineering of advanced in vitro models (such as stem
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supervising of trainees Providing other support as required by the research team The PDF will be supervised by Dr. Matthew Mitchell, who leads the Mitchell Multifunctional Landscape Lab (https
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, the following experiences are considered assets: production management; theatre technology; intimacy direction; stage combat; acting or directing for film and new media; openness to and/or experience in
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environment in the Faculty of Applied Science is available at https://apsc.ubc.ca/faculty/career-opportunities . All positions are subject to final budgetary approval. The University is committed to creating
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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or
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Computer Science within the MDA program, as well as more traditional undergraduate and graduate programs in Computer Science. Given the structure of the MDA program, there is an expectation
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of Science and Engineering, and Université Laval. Selection Criteria Hold, or be near completion of, a PhD (or an equivalent degree) in mathematics, preferably in algebra. Demonstrated ability or clear