122 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" Fellowship positions at Nanyang Technological University
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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programming skills (e.g., Python, Julia, Fortran, C++, MATLAB) and experience with high-performance computing environments Demonstrated publication record in reputable peer-reviewed journals Excellent written
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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), and reinforcement learning where appropriate. Engineer data pipelines to capture, clean, and analyze high-frequency interaction telemetry (for example accuracy, reaction time, and action sequences) and
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formulations including graphene, carbon nanotubes, ceramics, and other advanced fillers to develop sustainable, high-performance feedstocks for 3D printing. This role is central to our efforts to push the
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secure and reliable research on microchips used in quantum key distribution (QKD) systems. The researcher will focus on investigating and identifying potential hardware-level security vulnerabilities and
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redox flow battery technologies. The role focuses on electrochemical characterisation, system-level evaluation, performance optimisation, and laboratory capability building, contributing to high-impact
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in communication and information studies. Its communication program ranks among the top four globally and is the best in Asia. Similarly, its information studies program is ranked among the top three
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: Develop and apply new machine learning and computer vision methods such as large-language models and vision-language models for high-throughput analysis of video data. For NeuroAI focus: Apply data-driven