341 parallel-computing-numerical-methods-"Simons-Foundation" Fellowship positions in Singapore
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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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projects. Disseminate research findings through conferences, invited talks, and outreach activities, strengthening NTU’s leadership in infrastructure security R&D. Job Requirements: A PhD in Computer
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Requirements: A PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline Proven research track record demonstrated by publications in top-tier venues (e.g., IEEE S&P
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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will develop computational electromagnetics codes for rapid characterization of the fields scattered from artificial metasurfaces. Key Responsibilities: The key responsibilities of the Research Fellow
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infrastructure security R&D. Job Requirements: A PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline. Proven research track record demonstrated by publications in top
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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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Associate Research Fellow (Military Transformations Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang Technological University, Singapore, is a
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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conferences, presenting results to stakeholders and industry experts. Job Requirements: Ph.D. in electrical engineering, computer science, or a related field, with a strong background in AI/ML, wireless