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partner sites. Work with the Academic Council, Curriculum Committee, and year-level leaders to support instructional quality, student learning outcomes, and continuous improvement across all four years
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communication with expertise in research methods. Position begins August 16, 2026. The candidate is expected to teach three classes per semester in the School of Communication and Media, focusing on interpersonal
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science, artificial intelligence, computer vision, mobile robotics, machine learning, data science and analytics, or be able to demonstrate an equivalent professional practice and engagement. Previous experience in
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Forecasting the Future of Biodiversity: Cutting-Edge Approaches to Population and Community Dynamics
: How can tools like passive bioacoustics revolutionize wildlife monitoring? We offer cutting-edge training in statistical modelling, machine learning, and ecological forecasting, and our lab works across
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Website https://bit.ly/3HDLRTw Requirements Research FieldComputer scienceEducation LevelPhD or equivalent Specific Requirements Position Specific Required Qualifications: PhD in in Computational Sciences
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Learning as represented within HDSI's research scope, including but not limited to: 1) Computer Vision 2) AI for Science 3) Emerging Technologies for AI (such as Quantum Computing) All candidates
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limited to synthetic and chemical biology approaches to cellular computation and biomolecular logic design, the development and implementation of novel algorithms, machine learning for parsing biological
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AI for Science and Engineering and Foundation Models and Generative AI axes. The recruited candidate will develop contributions at the interface between machine learning, optimization and quantum
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. In addition, we are interested in candidates who are using AI and machine learning in their research or may be able to integrate these themes in their upper division course. Office and dry laboratory
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. Research in the lab is highly multidisciplinary and quantitative, requiring development and use of cutting edge computational modeling and statistical analyses (including machine learning and artificial