474 high-performance-quantum-computing-"https:"-"https:" uni jobs at Nanyang Technological University
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Distribution (QKD) within embedded and IoT ecosystems. Design and execute experimental frameworks for device setup and testing, performing rigorous data analysis to assess the effectiveness of hybrid quantum
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academic partners. To collaborate with interdisciplinary teams, including experts in physics, chemistry, and those who work on quantum computing hardware. To perform any other duties related to the research
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background in computer architecture, hardware acceleration, or high-performance computing Experience in Processing-in-Memory (PIM), ReRAM, or emerging memory technologies is highly preferred Proficiency in
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., battery systems, energy flows, simulations). Build and optimize interactive data visualization components (dashboards, charts, 3D views) using modern frameworks (e.g., React, WebGL), ensuring high
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data collection, basic analysis, and preparation of reports. Assist in Technology Performance Optimization (TPO) operations and Teaching & Pedagogy Index (TPI) data preparation and reporting. Provide
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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ensuring the smooth day-to-day administration of the Lien Fellowship programme, in line with NCPA and University strategic objectives. Key Responsibilities: Project Coordination & Implementation Participate
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-programme activities. Collect and analyse data to generate reports on programme performance, student engagement, and return on investment. Monitor key performance indicators, identify trends, and provide
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algorithms for UAV networking and management Implement and test the algorithms under realistic scenarios Evaluate performance of the proposed algorithms and compare the algorithms with benchmarks Publish the
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presentation works such as high-quality paper writing. Job Requirements: Preferably Master in computer engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical