56 distributed-algorithm-"Meta"-"Meta"-"Meta" positions at National University of Singapore in Singapore
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Job Description Job Alerts Link Apply now Job Title: Visiting Research Fellow for Quantum Algorithms Posting Start Date: 19/06/2025 Job Description: About the Centre for Quantum Technologies (CQT
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Time Synchronization of Distributed Radar Sensors) Posting Start Date: 02/05/2025 Job Description: Job Description For a project
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validation of algorithms using these databases, and related data analysis. The ideal candidate will have a strong understanding of SQL and expertise in programming languages such as Python and/or R. Main
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with major in Power Engineering • Relevant experience in power electronics, drives, control algorithms, optimization techniques, and optimal energy management algorithm development for the optimal
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, control algorithms, optimization techniques, and optimal energy management algorithm development for the optimal operation of the system and applications. • Strong knowledge of power electronics, wide
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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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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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international work environment Learn more about CQT at https://www.cqt.sg/ Job Description The candidate will be working on a telescope that is used to distribute entangled photons between buildings
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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