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confocal, and super-resolution microscopy to perform live-cell and fixed-cell imaging. Apply advanced image processing using ImageJ, Matlab, and other platforms. Interpret complex imaging datasets and
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Queen's University, Laboratory for Extreme Multi-Messenger Astrophysics Position ID: Queen's University -Laboratory for Extreme Multi-Messenger Astrophysics -POSTDOC [#30249] Position Title
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characterization techniques with mechanical behavior and finite element methods. The postdoctoral candidate will develop the processes needed to connect mechanical testing data with 3D microstructure of nuclear
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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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Responsibilities Specific responsibilities will include data acquisition (flow visualization, particle image velocimetry (PIV), pressure, acoustic, and high-speed video/kinematic measurements), analysis, and
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Vision Group at the division of Signal processing and Biomedical Engineering develops intelligent systems for automatic image interpretation and perceptual scene understanding. Our research spans both
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thermal imaging data, and potential clinical and signal data, to create algorithms capable of recognizing key clinical activities and interventions. Building on recent advances in computer vision and
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imaging. Demonstrated knowledge to train and guide personnel of varying skill levels including postdocs, Jr. Specialists, research staff, graduate, and undergraduate students. Demonstrated ability
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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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-compatible immunotherapy, thermal ablation studies, and quantitative imaging biomarkers. The candidate should have experience with securing multiple grants, collaborating across disciplines, and mentoring