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combine additional application materials into one or two files in PDF/MS Word format. If you have any questions about this position, please contact Prof. Markus Bussmann at chair@mie.utoronto.ca . All
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research that leverages big data, machine learning models and data algorithms. Experience in organizing, coordinating, and managing research projects as evidenced by a minimum of five grant-based research
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lead and support research and development of algorithms for automated wildfire detection, tracking, and alerting systems using real-time or near-real-time data. Integrate systems with UBCO’s backend
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, sometimes from multiple jurisdictions, to achieve sample sizes appropriate for training algorithms. This creates challenges with data security and data flows (due to legislative restrictions). Further, data
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and Abilities Knowledge and experience with bioinformatics algorithms and genomic data analysis pipelines Knowledge of software for genomic data analysis Education, Certifications, Licenses Education
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Simon Fraser University | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 month ago
at all levels—developing new materials, designing creative and interactive technologies, engineering future hardware platforms like quantum computers, and writing the algorithms that power machine learning
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platforms like quantum computers, and writing the algorithms that power machine learning, big data analytics, and predictive modeling. Beyond technological development, SFU’s researchers also explore
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; or the training of a machine learning algorithm to read a digitized document written in an under-resourced language. Position description: The University of Toronto Libraries seeks a highly organized, flexible, and
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. Research in this field supports smart sensors, electronic textiles, AI-driven industrial automation and quantum-enabling hardware, addressing critical challenges in healthcare, sustainability, food security
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, and explainability; developing unbiased algorithms and responsible data use; addressing the social impacts of AI and IT-induced biases; equitable compensation policies; combating labour discrimination