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credits, at least 60 of which must be in advanced courses in computer vision or equivalent. Alternatively, you have gained essentially corresponding knowledge in another way. The degree requirement
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computer vision, ideally segmentation and/or quantification of micro-CT data experience developing deep learning-based image analysis methods experience with scientific Python programming experience
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(but not limited to) statistical analysis, geospatial analysis, textual analysis, automated content analysis, natural language processing, computer vision, remote sensing/satellite imagery, social
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., near-miss detection, predictive crash risk, multimodal exposure estimation). · Design, implement, and validate AI pipelines (computer vision, tracking, spatio-temporal modeling, edge learning
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of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications
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-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and
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-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and
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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston (Downtown), Ontario | Canada | 8 days agoSupercomtuping and High-Performance Computi Employer Queen's University - Electrical and Computer Engineering, Smith Engineering Location Kingston, Ontario (CA) Salary $150,000 to$180,000. Actual