184 algorithm-development-"St"-"St" Fellowship research jobs at Nanyang Technological University
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Asia, towards safer and more sustainable societies. For more information on EOS please visit http://www.earthobservatory.sg . We are looking for a Research Fellow to conduct research on the development
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. It has 13 projects in these thrust working across various Schools in NTU, Singapore. In the new era of industrial 4.0 and sustainable living, the centre is rigorous in developing new competencies
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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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Responsibilities: The candidate will study theoretically forward and inverse uncertainty quantification problems for partial differential equations, and multiscale partial differential equations. He/she will develop
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The Centre for Urban Solutions is to provide leadership in developing innovative solutions and sustainable technologies for space creation and urban infrastructure development. The School of Civil
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to publications, and attend conferences and workshops, for disseminating research findings. Travel support is possible. Key Responsibilities: Developing state-of-art algorithms for massive datasets Writing
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations