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multiple projects of varying complexities. Based on expert technical knowledge, skills and experience, develops broad-based solutions involving multifaceted technologies, and business processes. Leads
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). Information about the Cresswell group can be found here: https://ccri.at/research-group/cresswell-group/ Your responsibilities Analysis of rich, state-of-the-art datasets: You will analyze multiple data types
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robust geospatial software tools for automated processing of satellite imagery and other remote sensing data. This includes implementing algorithms for geometric corrections, radiometric calibrations, and
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). Information about the Cresswell group can be found here: https://ccri.at/research-group/cresswell-group/ Your responsibilities Analysis of rich, state-of-the-art datasets: You will analyze multiple data types
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develop signal processing algorithms to characterize structural health in microreactors and other advanced nuclear reactor technologies. Metrics for success will include scientific output, disseminating
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in a management of supervisorial capacity. Req Demonstrated ability to prioritize and manage multiple complex projects simultaneously and maintain flexibility to adapt to a changing environment. Req
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solution will utilize information collected through specific sensors installed in the infrastructure, which will be processed by advanced Artificial Intelligence algorithms. The works listed for this grant
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data management sufficient to create, transform and integrate data in a variety of resolutions and formats. Analysis will include running machine learning algorithms (e.g., Random Forest, CART) and
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new generation of perceptual foundation models by contributing advanced perceptual pre-training and fine-tuning algorithms. What you will do You will carry out research and development in the areas
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The University of British Columbia (UBC) | Vancouver UBC, British Columbia | Canada | about 1 month ago
range of imaging and video processing fields beyond medical imaging. The Research Associate will be at the forefront of developing algorithms that are both technically robust and clinically relevant