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. They also present challenges: New types of data, (e.g., from DNA testing) may increase risk to privacy. For machine learning and artificial intelligence to work properly, data needs to be centralized
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McGill University | Winnipeg Sargent Park Daniel McIntyre Inkster SE, Manitoba | Canada | 25 days ago
fluorescence data. Developing machine learning methods to optimize data collection. In addition, the project is committed to developing open source tools that benefit the imaging community. The applicant will
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adjunct and seconded professors. The graduate program comprises over 200 students pursuing Masters (MA, MEd) and doctoral (PhD) programs. LLED Faculty teach over 200 course sections in the winter and over
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. Expertise that is desired: Cheminformatics and Machine Learning Demonstrated development or application of machine learning tools to address chemical problems, including but not limited to: property
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that is desired: Cheminformatics and Machine Learning Demonstrated development or application of machine learning tools to address chemical problems, including but not limited to: property prediction
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an early-career researcher with demonstrated strengths in artificial intelligence and bioinformatics. More specifically, expertise in using machine learning and AI tools to leverage multi-omics (genomics
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curriculum standards and learning objectives. • Collaborate with faculty members and industry professionals to ensure course content is relevant and up to date. • Utilize various
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the collection, processing, and analysis of physiological data from recreational and elite athletes across various exercise protocols. Utilizing machine learning and deep learning algorithms, integrate multi-modal
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and damage to neurons, and the major cause of permanent disability in multiple sclerosis (MS) and other neurological diseases. Using the latest in computer modeling, molecular and imaging technology, we
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recovery. Oversee the collection, processing, and analysis of physiological data from recreational and elite athletes across various exercise protocols. Utilizing machine learning and deep learning