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variety of instruments and tools (3D motion capture, force plates, electromyography, ultrasound, metabolic energy analysis).· Ensure data quality of biomechanics-related testing.· Perform data analyses and
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variety of instruments and tools (3D motion capture, force plates, electromyography, ultrasound, metabolic energy analysis).· Ensure data quality of biomechanics-related testing.· Perform data analyses and
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Emerging technologies, including AI-driven geospatial analysis Research on 2D/3D cartographic communications and data visualization The applicant is expected to innovatively develop and apply geospatial
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ovarian cancer. The laboratory has about 15 members that use cutting-edge methods, including spatial proteomics, spatial metabolomics, spatial transcriptomics, 3D organotypic cultures of human tissue, in
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the brain. The key objective is to support efforts to identify how these interactions contribute to neurological disorders and to discover potential therapeutic targets. For more details, please view https
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laboratory activities and maintain the progression of research projects. Supervise research technicians and student employees. Participate in protocol development, data analysis and report/manuscript
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plumes. Atmospheric pollution plumes are inherently three-dimensional (3D) structures, characterised by sharp spatial gradients, rapid temporal evolution, and intricate links between chemical
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cells. The project is exclusively in silico and will focus on the analysis of advanced 3D and 4D microscopy datasets. The student will establish methods for segmentation, reconstruction, and registration
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analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division, Computing and Computational