129 parallel-computing-numerical-methods Fellowship positions at National University of Singapore
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Computer Science) Posting Start Date: 03/07/2025 Job Description: Job Description Research Fellow – Multimodal Time-Series
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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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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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the Department of Materials Science and Engineering at National University of Singapore under the direction of Dr. Jing Yan and Dr. Peichen Zhong. This role involves using computational methods, including DFT
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methods Experience analysing RNAseq and/or high throughput imaging data Experience handling human post-mortem tissue Experience writing/using computer code Experience supervising postgraduate students and
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of infectious diseases. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing
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specialized differentiable numerical solvers for trajectory optimization that generate informed motion trajectories for contact-rich manipulation tasks, handling complex dynamics and physical constraints
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ecological theories to advance our understanding of ecosystem functions and their response to climate change. Job Description The ideal candidate is expected to be highly creative, have strong numerical and
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interdisciplinary team of social scientists, supported by a dedicated group of research assistants. Projects at GAI combine rigorous empirical methods with real-world relevance, offering opportunities to produce
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expected, and familiarity with modern machine learning methods will be considered an asset. NUS offers a vibrant research environment, with access to high-performance computing facilities and opportunities