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remains poorly understood how such systems learn and what signatures learning leaves in their physical structure and energy landscape. This project aims to build the theoretical foundations of physical
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, to create a responsible and innovative university to serve as a model for the 21st century. Within ICN, the ChemSenSim group (https://lab.chemsensim.fr/ ) develops interdisciplinary research projects
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian The Research Associate will lead a project on Waste-to-Resource
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, construction sites, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot perception, decentralization and mission
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technologies—including AI—to enhance decision‑making and streamline workflows. Leading a talented operations team, this position shapes the systems, insights, and structures that help the College meet its
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individual with strong organizational skills, an attention to detail, and (ideally) previous exposure with database and content management software. Applicants should appreciate the structure policies and
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functional and technical team members to support operational and development goals. Learning & Professional Development Engage in structured learning to build technical proficiency with PeopleSoft development
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Sessional Lecturer - CTL5704H - Special Topics in Teaching - Urban Education Curriculum and Pedagogy
of which identities, cultural practices, institutional structures, and/or social forces. Understanding the complexity of parent and student engagement puts us in a better position to develop a more equitable
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
Latin intellectual traditions. The project combines intellectual history with computational text analysis to examine large, historically complex corpora spanning multiple centuries and languages. The core
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description The position is connected to the project “Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and