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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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of predictive analytics and implementation of algorithms in care settings along with clinical, business and ethical challenges will be explored. In addition, an overview of the issues within the health industry
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video. Creativity in developing engaging digital content that reflects the NAIT brand. Ability to research and adapt to evolving social media trends, algorithms, and digital marketing techniques
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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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exploitation experience (e.g. ability to analyze compiled code, debug, and craft exploits) Understanding of modern cryptographic algorithms and common weaknesses Expertise in application security (SQL injection
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title: CSC384H1Y - Introduction to Artificial Intelligence, LEC5101 Please note, this position is a 0.5 FCE appointment. Course description: Theories and algorithms that capture (or approximate) some of
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of technology infrastructure for data access requests and the documentation, storage, and re-use of algorithms and existing data; the development of data analytics and data collection and analysis infrastructure
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experiments related to aerosol-cloud processes Analysis of data observation and modelling developed at McGill. Candidates must demonstrated experience in developing AI algorithms to significantly improve
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of a clinical sequencing platform. Primary Responsibilities: Use and develop analysis pipelines using in-house and third party tools or algorithms, and incorporate them into specialized analysis
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: Desautels Course Title and Course Number: Enterprise Data Science: Concepts and Algorithms INSY 674 Estimated Number of Positions: 2 Total Hours of Work per Term: 90 Position Summary: Grading and in person