86 computional-geometry-algorithm Fellowship positions at National University of Singapore
Sort by
Refine Your Search
-
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
-
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
-
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
-
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
-
Job Description Job Alerts Link Apply now Job Title: Research Fellow (Computational Biology) Posting Start Date: 27/02/2025 Job Description: Job Description We are seeking highly motivated
-
with major in Power Engineering • Relevant experience in power electronics, drives, control algorithms, optimization techniques, and optimal energy management algorithm development for the optimal
-
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
-
of high-performance computing and high-fidelity simulators for virtual surgery and surgical robots. The research fellow is expected to contribute in the following aspects: a) Design and implement high
-
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
-
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