188 parallel-computing-numerical-methods-"Simons-Foundation" Fellowship positions at Nanyang Technological University
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Development of new multidomain simulation platform for electric motor drives Development of new fabrication methods for electric motor drives Experimental testing for motor system Job Requirements: PhD degree
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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into products and services for Continental through close collaboration with its business units. Key Responsibilities: Conducting the research in AI domains and formal methods Applying the developed research ideas
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from basic schlenk technique to computational methods with the Gaussian program. Draft detailed reports conveying experimental results and presenting findings to other scientists. Monitor laboratory
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not new, but many of the existing methods have size-controlling problems. In this project, we shall study these issues thoroughly and propose some new and innovative approaches to overcome these issues
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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, Physics, Computer Science, or a related field. Hands-on experience with computational materials methods (e.g., DFT, molecular dynamics, machine learning force field simulations). Proficiency in Python
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. The key responsibilities of this position include: Perform numerical simulation to solve fluid-solid-interaction problems Perform design optimization, especially AI-based generative design Master domain
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow to undertake a project to develop efficient theoretical, numerical and experimental