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of new algorithms and technologies. Capturing value from these algorithms and technologies requires an interdisciplinary approach, engaging health and health science professionals in the design and
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data algorithms. Experience in organizing, coordinating, and managing research projects as evidenced by a minimum of five grant-based research programs. A clear understanding of the academic 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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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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Simon Fraser University | Northern British Columbia Fort Nelson, British Columbia | Canada | 1 day 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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technologies, algorithms, and platforms as required • Produce thorough but concise written documentation of algorithms, workflows, SOPs and other processes and procedures as required • Consult, communicate, and
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and synthesize relevant literature in machine learning, representation learning, and manifold learning. Propose and implement extensions to existing dimension reduction algorithms using contrastive
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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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Studies (PhD) Teaching in the age of algorithms: Resisting the algorithmic order through co-created sociotechnical experiments View All Stories Further Information Allocations Funding will be allocated
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degree in Engineering, Computer Science, or a related field. Familiarity with machine learning concepts and algorithms is highly preferred. A basic understanding of audio processing and acoustic analysis