1,404 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions in Singapore
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position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity
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at its fingertips by enhancing the use of effective applications and services for teaching and learning. We drive a culture that is forward-looking. With a strong passion for IT, our people are always
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learn to apply these processes judiciously while maintaining a focus on originality and professional integrity. Candidates should have a relevant Master’s and/or PhD in Digital Arts, Computational Media
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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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project and laboratory. (https://cde.nus.edu.sg/mse/staff/ming-zhao/ ; https://www.mingzhaogroup.com/) Qualifications • BS degree or higher in materials, chemistry, chemical engineering, physics
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. The University’s unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with
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, please view https://www.ntu.edu.sg/spms We are looking for a Research Fellow to complete the project on low dimensional quantum materials and devices and ensure the success of the project and support other
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machine learning and AI acceleration. Perform performance, power, and area (PPA) analysis of processor and accelerator designs. Publish research findings in top-tier conferences and journals and contribute
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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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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