1,470 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Singapore
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developers, and AI researchers to translate findings into operational use cases. Prepare data collection frameworks and work on fish health monitoring datasets for machine learning training and benchmarking
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innovation. The Platforms Engineering Group builds and operates the infrastructure and systems that enable AI practitioners across AISG's programmes to develop, train, and deploy machine learning models
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data analysis through to deployment and documentation. Applied Machine Learning: Possess deep, practical knowledge of machine learning fundamentals, with proven experience applying algorithms to solve
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engineering or equivalent. • Possess good oral and written communication and interpersonal skills. • A good team player and able to work independently. • Desire to learn new skills as well as take on
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, machine learning, and deep learning models. Key Responsibilities: Develop and apply time-series forecasting methods for semiconductor equipment health monitoring. Analyze equipment degradation data
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research takes place at the boundary of quantum optics, particle waveshaping and nanomaterials. Read more about our work at our group website https://sites.google.com/view/ljwgroup . Key Responsibilities
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/ machine learning / statistics on spatial and single-cell omics (transcriptomics, proteomics, epigenomics, metabolomics, meta-transcriptomics, etc.) data. Independently carry out computational and
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related to generative design. The key responsibilities include the following: To independently undertake research in machine learning. To publish high-quality research papers as required by the funding body
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documentation. Applied Machine Learning: Possess deep, practical knowledge of machine learning fundamentals, with proven experience applying algorithms to solve problems in areas like NLP, Computer Vision, or
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in empirical analysis using econometric, machine-learning, and language-modeling techniques. Conducting literature reviews and synthesizing existing academic research to support ongoing projects