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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
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Associate will assist a Principal Investigator Leon Shterengas in the Department of Electrical and Computer Engineering . The incumbent will conduct research on semiconductor photonic device nanofabrication
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also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 3 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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in accordance with the applicants’ interests and expertise, but will broadly be related to the neural mechanisms underlying the cognitive control of movement and non-motor processes (such as language
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: Minimum education: PhD in a relevant scientific field (e.g., computer science, image processing, or computational neuroscience). Minimum experience: 0 years Preferred Qualifications: Preferred education
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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches
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retinal tissue dissection, immunohistochemical and molecular assays, confocal imaging, and basic analysis of imaging data. The candidate will help with tissue processing and data collection across multiple
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vulnerability or survival during neurodegenerative conditions in vivo. Responsibilities of the postdoc will include, but are not limited to: in vivo imaging of biosensors to read out diversity and dynamics
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Description of the AMBER project This post-doctoral position is part of AMBER, Advanced Multiscale Biological imaging using European Research infrastructures, which will address scientific and sectoral gaps in