646 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at Nanyang Technological University in Singapore
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Key Job Purpose: We are looking for an early-career Analytical Specialist
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
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(including algorithms, systems, data structures, machine learning). Demonstrated capability to conduct innovative research. Ability to design and implement new experimental methods. Ability to initiate
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. Learn more about our lab at https://www.richardshelab.com/ . Key Responsibilities: Design and lead a novel research project aligned with your scientific interests and the lab’s experimental strengths
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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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the University and the region. The manager, Postgraduate Programme (PG), plays a critical role in nurturing leaders in entrepreneurship ecosystem, as well as in supporting the national agenda of lifelong learning
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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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computer vision and machine learning. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To undertake any other duties
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in Communication, Human-Computer Interaction, Information Science, Psychology, or a related field. At least 1 year of relevant experiences in doing research in a relevant field. Familiarity with social
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inter-department joint activities. The incumbent will oversee various I&E activities and engagements to enhance the experiential learning. S/he will also support venture internship, expanding the industry