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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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: 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
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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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. 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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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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(e.g., SolidWorks, AutoCAD) and printer operation. Proficiency in coding languages such as MATLAB, Python, or C/C++, with the ability to develop custom scripts and algorithms for data analysis and
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required. Candidates should be comfortable developing and teaching the core MADS courses offered by the Computer Science Department (CSC 501: Algorithms and Data Models; CSC 502: Systems for Massive Datasets
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experience of database optimization and best practices. Strong understanding of data structures and algorithms such as Arrays, Linked Lists, Stacks, Queues, Searching and Sorting algorithms. Demonstrated
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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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, Tableau, AWS QuickSight, IBM, Google, etc Technical Expertise in three or more of the following competencies AI & Machine Learning: Proficiency in ML algorithms, deep learning architectures, NLP, computer