334 parallel-computing-numerical-methods-"Simons-Foundation" Fellowship positions in Singapore
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roadmap with digital twins in various industries Job Requirements: PhD in the area of Industrial, Mechanical, or Materials Engineering Demonstrated experience in the area of design, methods, modelling, and
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Research grant application Supervise postgraduate student projects Support the teaching programme in the department and medicine school Main Duties and Responsibilities The Research Fellow will be able
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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
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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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will focus on material development for motor applications. Key Responsibilities: Development of new material for electric motor applications Development of new 3D-printing fabrication method for material
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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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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
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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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to critic, test-bed and facilitate large-scale, community-based service innovations through a variety of methods including programme evaluation and social analytics The Research Fellow will join a dynamic
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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