61 machine-learning "https:" "https:" "https:" "https:" "https:" uni jobs in Singapore
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expertise in computational biology and machine learning/AI for synthetic biology applications to join our group at National University of Singapore for the engineering of microbes as biosensors
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-Centred Design/Human-Computer Interaction (Assistant, Associate or Full Professor level). We are seeking a creative and critical design researcher who works at the interface where computing technologies
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accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large
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learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative and take ownership of work Where to apply Website https
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workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for machine learning and AI acceleration. Perform
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of wireless communications, signal processing and machine learning methods and algorithms for urban anomaly detection and human activity classification through 5G signal recording, processing analysis
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enablement Leverage data and emerging technology (e.g., Power BI, Robotic Process Automation (RPA), Artificial Intelligence/Machine Learning (AI/ML)) to solve challenges and innovate FSS operations Stakeholder
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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2022. We invite you to explore https://cde.nus.edu.sg/ece/ to learn more about us and see how you could become a part of our vibrant and diverse community. More Information Location: Kent Ridge Campus
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would choose to work with lecturers clustered into three broad areas: Science and Technology, Arts and Design, Civic and Community. Applicants from any field representing the Computer Sciences are welcome