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students) as well as research technicians in the lab. Interested candidates must have an MD or PhD in neuroscience, biomedical engineering, nanotechnology or a related discipline, with postdoctoral
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in Neurosciences. This field is currently thriving, driven by recent technological advances that enable imaging and identification of the functional roles of genetically defined cell populations (e.g
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knowledge in psychology and/or neuroscience acquired through PhD Degree, with specialization in advanced neuroimaging, cognitive neuroscience, and imaging-based disease biomarker development. At least two
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, and document appropriate engineering design opportunities; in the second half they design, prototype, and present engineering designs to a subset of those identified opportunities. In support of
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 15 days ago
objects come to have meanings. How we recognize and fail to recognize such meanings. The nature, systems, and processes of interpretation. The role of mental models. September 1 to December 31, 2025 (actual
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 2 months ago
imaging system based on the random access parallel imaging (RAP) system platform (https://doi.org/10.7554/eLife.56426 ). The RAP platform quickly collects high-contrast images in multi-well plates using
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) modeling, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment to research. Curiosity and creativity
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. Prior experience in at least one of the following is a requirement: physiologically based pharmacokinetic (PBPK) modeling, computational oncology/biology, kinetic modeling, advanced image processing
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: physiologically based pharmacokinetic (PBPK) modeling, computational oncology/biology, kinetic modeling, advanced image processing. The candidate should be highly motivated with a strong interest and commitment
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Sessional Lecturer, INF2310H - Special Topics in Information Studies: Designing UX for Mixed Reality
Description: This course explores the worlds of virtual, augmented, and mixed reality applications, and prepares students with user experience design techniques to prototype, evaluate and critique these systems