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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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Title: Introduction to Computer Science Course Number: COMP 251 - Course Title: Algorithms and Data Structures Course Number: COMP 273 - Course Title: Introduction to Computer Systems Course Number: COMP
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Staff - Non Union Job Category M&P - AAPS Job Profile AAPS Salaried - Scientific Eng., Level A Job Title Software Engineer, IoT Department UBCO | Research Support | Bourbonnais | Department of Earth
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bio-resource engineering. This position strengthens the research functions in Data Analytics and Intelligent Systems. The Research Associate will be responsible for the following duties: Developing
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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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Simon Fraser University | Northern British Columbia Fort Nelson, British Columbia | Canada | 8 days 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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(AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of
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(AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of
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(AC) at the University of Toronto (U of T) is leading a transformative shift in scientific discovery that will accelerate technology development and commercialization. The AC is a global community of
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Nature Careers | Northern British Columbia Fort Nelson, British Columbia | Canada | about 2 months ago
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