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. The ultimate objective is to develop a next generation of AI approaches that are more sustainable and accessible. Relevant domains include mathematical and computational optimization, learning algorithms
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, lists, maps. Program structure: control flow, functions, classes, objects, methods. Algorithms and problem solving. Searching, sorting, and complexity. Unit testing. Floating-point numbers and numerical
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the research functions in Data Analytics and Intelligent Systems. The Research Associate will be responsible for the following duties: Developing the research strategy and plan of the Urban Data Lake. Planning
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career. Job Summary full-time position is open immediately for a computational biologist to work with our interdisciplinary team of researchers and software developers at BC Cancer. The successful
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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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: Mathematics and Statistics Department Position Summary: Conduct a research project on methodological development of contrastive learning approaches for dimension reduction techniques (e.g., t-SNE, UMAP). Review
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Simon Fraser University | Northern British Columbia Fort Nelson, British Columbia | Canada | about 22 hours 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