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computing, edge computing, service computing, and distributed storage systems. Design and develop novel algorithms and system frameworks for cost optimization, latency reduction, auto-tiering, caching, and
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vision by designing, developing, and optimizing robust distributed learning frameworks and deep learning models for visual recognition and person re-identification. Key Responsibilities: Design and conduct
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focuses on a host of Interdisciplinary Research Programs, Flagship Programs, Consortium Platform and an Accelerator Programme that covers the energy value chain from generation to innovative end-use
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, imbalanced-data, or distribution-shift settings. Job Requirements: PhD in Computer Science, Data Science, or a closely related field. Strong research background in machine learning and artificial intelligence
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computer science, Computer Applications, Engineering or related field At least 8 years of relevant experiences in similar role / technical hands-on experience with distributed systems, cloud platforms, and real-time
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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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) and Quantum Key Distribution (QKD), to ensure cryptographic agility within silicon. This work aims to protect critical infrastructure from future decryption risks and maintain a robust hardware root of
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, leveraging modern cloud-native and distributed architectures Establish and enforce engineering best practices, including coding standards, testing frameworks, and documentation Lead technical experimentation
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. Job Requirements: Preferably Bachelor’s degree in Computer Science or related disciplines from a reputable university. Good knowledge in parallel and distributed computing, and algorithm design
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background in Linux administration, automation, and networking (TCP/IP, HTTP). Experience with distributed storage and computing (Ceph, Lustre, Open MPI, NVLink). Decent communication skills for interacting