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Economics; (2) Modern Analytical Techniques (including AI, Machine Learning, etc.) and; (3) Real Estate/Urban Economics. Ideally, the selected candidate would have research interests in some combination of
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in Indigenous Epidemiology, Tuberculosis, and Artificial Intelligence (AI) specifically pertaining to metagenomics, paleopathogenomics, and machine learning approaches to understand and address health
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more than 35 artificial intelligence (AI) & machine learning (ML) researchers at the U of A, as well as CCAI Chairs at post-secondary institutions across Western Canada. The CCAI Chair includes research
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cytometry, -omics), and comprehensive analytical approaches (e.g. bioinformatics, machine learning). Significant assets include demonstrated expertise in some of the following areas: exploring molecular
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engagement in the Department includes pharmacogenomic, genetic and neuroimaging studies and we enjoy an active on campus collaboration on machine learning and datamining with the Alberta Innovates Centre
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control Proficiency in programming in Matlab, C/C++/C#, Python, PLCs and in an established CAD/CAM software packages Preferred Skills Prior experience working with machine learning, especially deep learning
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strong communication skills Experience working in an academic research organization, and knowledge of clinical trials, statistics, and health concepts. Experience working in machine learning, virtual
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). The position provides opportunities to work on interdisciplinary research team in collaboration with researchers in psychology, gesture studies, and computer engineering (machine learning). The successful
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manufacturing systems (in particular robotic WAAM or laser DED) Experience with programming Motoman and/or ABB robots, including interfacing with ROS Machine learning (OpenAI or PyTorch) The successful candidate