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intelligence and machine learning, to investigate these medicines. By leveraging emerging resources such as electronic health records (EHRs) and genomics databases, we aim to identify for whom these drugs will
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Ongoing At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our
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that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps
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in clinical informatics. This internship is ideal for someone with strong analytical and technical skills who is excited to work at the intersection of machine learning, healthcare data, and
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internships, citizen science initiatives, and Service-Learning projects. The Division of Science (DoS) invites applications for the position of Research Assistant Professor in Geoinformatics. We seek
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improvements in collaboration with teaching and learning support units, academic colleges, and administrative offices. Oversees graduate student systems, reporting tools, and online resources in collaboration
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‑day home recordings), behavioral methods (language assessments and language sample analysis), and experimental approaches (eye‑tracking) to understand how children learn language across developmental
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and
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artificial intelligence, machine learning, IoT, and their security implications for organisations and society. •Misinformation – Analysis of the creation, spread, and impact of false or inaccurate information
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Tiny Machine Learning (TinyML). The role will focus on the design and development of battery‑less, ultra‑low‑power IoT systems capable of executing secure TinyML‑based visual perception algorithms