55 distributed-algorithm-"Meta"-"Meta"-"Meta" positions at National University of Singapore in Singapore
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Analytics & Explainability development of algorithm and system for the project The School of Computing at the National University of Singapore (NUS) invites applications for a Postdoctoral Research Fellow
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of meetings and comprehensive documentation. Facilitate and oversee disciplinary investigations, safeguarding a fair and transparent process throughout. Manage the drafting, distribution, and follow-up
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) and deliveries, including packages and other office supplies, ensuring prompt distribution and proper documentation. • Organise School-level meetings and record minutes. • Support the planning and
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with data to experts and non-experts alike; and • Experience in sourcing, selecting, and applying machine learning techniques and designing algorithms that can be communicated to, and used by, non
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ethical and security standards. Concept and Algorithm Development: Innovate in data science, machine learning, and AI. Data Analysis and Reporting: Contribute to data analysis, reporting, and publication
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Roles Lead a retrospective study utilizing a decade of health data to create a comprehensive HRI database. Investigate the distribution and determinants of HRI by applying epidemiological methods
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to contributions in top-tier international journals and real-world implementations. Responsibilities: Develop and refine algorithms for decision optimization and risk control, utilizing big data and advanced
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. • Establish a framework for the preparation and distribution of press releases and the coordination of media inquiries and interviews. • Drive the development of media capabilities amongst key academics in
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develop algorithms to identify and predict SRL subprocesses from multimodal learning data (e.g., EEG/fNIRS, eye-tracking, and think-aloud protocols); • Analyze large-scale learning analytics data
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RESEARCH FELLOW IN ARI(TRANSITION RISKS IN IMPLEMENTING FOREST CARBON INITIATIVES IN SOUTHEAST ASIA)
financing models can be developed and tested to support the equitable distribution of benefits while minimizing economic disruptions to traditional livelihoods? How can new digital technologies and AI be