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- Earth Observatory of Singapore - Nanyang Technological University
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on the theory and applications of machine learning. The position emphasizes advancements in artificial intelligence and operations research, supporting Singapore's goal of using technology for societal
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machine learning Development of control methods for manipulation of soft objects Job Requirements: Master Degree in Electrical and Electronic Engineering Expertise in machine learning, robotics and control
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of machine learning interpretability solutions in production. Key Responsibilities: Implement machine learning interpretability tools and pipeline to be included in the future machine learning interpretability
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About the Centre for Quantum Technologies (CQT) The Centre for Quantum Technologies (CQT) is a research centre of excellence in Singapore. It brings together physicists, computer scientists and
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that are relevant to industry demands while working on research projects in SIT. The Candidate will be working on a sustainability and AI project, coupling physics-based models and data driven machine learning
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SERS platform of high enhancement factor to achieve strong signal and enhance analytical performance; Constructing machine learning model for qualitative and quantitative analysis of gaseous samples
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to machine learning, specifically Python and PyTorch. Demonstrated publication record in top-tier conferences such as NeurIPS, ICML, CVPR, or similar. Proven experience in designing, implementing, and
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discipline, with a focus on Cyber Security, Machine Learning and/or Data Mining Experiences in edge networks and communication systems Good programming skills in e.g., Python, Matlab, C++, etc Good
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Research Associate (Data Science/Information Engineering/Applied Mathematics/Information Technology)
in high-impact research and enjoy rapid personal development in a meritocratic culture. Key Responsibilities: Design and implement physics-informed machine learning approaches for imaging and
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through coursework (especially math-intensive courses) and projects during his/her undergraduate and master’s studies. • Proficient in C++ or Python. Familiar with machine-learning tools and packages