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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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unconstrained exploration of the best possible integrative solutions across engineering, medicine, and biology. The computational cancer biology and pathology artificial intelligence team (AI in Medicine Lab
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reality (AR) and virtual reality (VR), and basic knowledge of artificial intelligence (AI) is an asset. Understanding and general knowledge of Moulage, AV, and IT is preferred. Computer experience required
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&Intelligent Systems Course Number: COMP 424 - Artificial Intelligence Course Number: COMP 445 - Computational Linguistics Course Number: COMP 462 - Course Title: Computational Biology Methods Course Number
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align with the program’s streams: (i) artificial intelligence and machine learning; (iii) applied data science (big data analytics, databases, data mining, etc.); (iii) cybersecurity. The selected
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chemistry as well as advancements in robotics and artificial intelligence to understand and optimize chemical reactions. This full-time position leads the software development and implementation of robotic
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | 2 months ago
academic issues in IT such as artificial intelligence; Demonstrated skill in respectful, sensitive communication with people from diverse backgrounds, cultures, language, gender, and abilities; The ability
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America. Across its universities and research institutes, Montreal is a leader in artificial intelligence research, further adding to the vibrant environment supporting top-notch neuroscience. The Montreal
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community of academia, industry, and government that leverages the power of artificial intelligence (AI), robotics, materials sciences, and high-throughput chemistry to create self-driving laboratories (SDLs
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British Columbia through innovation driven by artificial intelligence (AI). The goal of the Network is to build capacity for research; education and training; and partnerships, outreach and engagement