97 computer-algorithm-"CNRS" Fellowship positions at National University of Singapore
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friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description We are seeking a strong quantum computing researcher to develop quantum algorithms for generative
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Job Description Job Alerts Link Apply now Job Title: Research Associate/Fellow (Programme Manager) Posting Start Date: 17/07/2025 Job Description: Job Description An exciting opportunity has arisen
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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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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Computational Materials Science) Posting Start Date: 16/07/2025 Job Description: Job Description A postdoc position is available
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (theoretical computation) Posting Start Date: 10/06/2025 Job Description: Job Description A postdoc position is available in
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Job Description Job Alerts Link Apply now Job Title: Research Fellow, Computational Biologist Posting Start Date: 20/05/2025 Job Description: Job Description The focus of Professor Patani’s lab is
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (School of Computing) Posting Start Date: 21/04/2025 Job Description: Job Description We are the NUS AIoT Group, led by NUS
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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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Job Description Job Alerts Link Apply now Job Title: Research Fellow, LSI Healthy Longevity Programme Posting Start Date: 04/11/2024 Job Description: Job Description We are seeking a highly
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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