168 parallel-computing-numerical-methods-"Simons-Foundation" Fellowship positions at Nanyang Technological University in Singapore
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-physics systems, particularly thermal-mechanical analysis in metal additive manufacturing. Familiarity with finite element/finite volume methods, high-performance computing, and simulation data processing
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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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: Develop and apply new machine learning and computer vision methods such as large-language models and vision-language models for high-throughput analysis of video data. For NeuroAI focus: Apply data-driven
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Research Fellow / Associate Research Fellow / Senior Analyst / Research Analyst (Military Studies Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang
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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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postdoctoral research fellow in the area of computational soft matter physics. The main research tasks include developing new numerical methods for simulating self-assembly of anisotropic colloids. The Research
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industry partners. Job Requirements: PhD degree in Computer Science/Engineering, Electrical/Electronic Engineering, Mathematics or other related disciplines from a reputable university. Good publication
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degree in Mechanical or Vehicle Engineering or the related fields 3-year research experience in combustion, emission, or thermofluid modelling. Expertise in numerical simulation methods, particularly
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. Support the supervision of graduate students and research assistants involved in the project. Job Requirements: PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a
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) who is highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The SRF should have strong background in computational methods for solving