25 algorithm-"Multiple"-"U"-"Simons-Foundation" Fellowship positions at National University of 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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Power Engineering • Relevant experience in power electronics, wide band gap semiconductor devices, multilevel inverters, soft-switching high-frequency power converters, drives, control algorithms
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the COVID-19 vaccines) is a highly dynamic and fast moving field. We have developed a generative AI algorithm to optimize the mRNA, and we are looking for an experienced wetlab researcher to test the
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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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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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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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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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University of Singapore is dedicated to the interdisciplinary study of humans and algorithms on the Internet, and its implications on the society of the future. This is an exciting opportunity to join us as a
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with multinational teams. Demonstrated ability to manage multiple projects efficiently. Prior experience in research and grant writing, and able to undertake research assignments with minimal supervision
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resourceful, organised, and able to manage multiple priorities effectively. e) Be highly numerate, analytical, and be willing to work with complex datasets. The ideal applicant should also: a) Have experience