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in and manage the research project with Principal Investigator (PI) to ensure all project deliverables are met. Derivation of closed-form theoretical latency and timeliness expressions for cloud-hosted
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on cloud and edge devices, considering latency, throughput, and energy constraints. Implement, evaluate, and benchmark accelerated models using rigorous experimental protocols. Contribute to research
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to work with high-performance computing environments during academic training, with basic knowledge of cluster usage or cloud-based AI tools More Information Location: Kent Ridge Campus Organization
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research. Familiarity with cloud computing, database management, and scalable analysis infrastructure. Strong mentoring orientation and ability to raise the overall research quality of collaborative teams
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packages. Maintain high software engineering standards through rigorous testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud
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for cloud-hosted AI services and edge-assisted offloading strategies. Analysis of theoretical latency and timeliness for cloud-hosted AI services and edge-assisted offloading strategies. Design and
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activities. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Applied Mathematics or equivalent. Strong software background in software engineering and cloud computing systems. Strong
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standards through rigorous testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud-based services). Carry out Risk Assessment, and
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measures against common threats like DDoS attacks, SQL injection, and cheating. Experience in multiplayer game services such as Azure PlayFab, AWS GameLift, Google Cloud Servers, and other similar services
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. • Experience with cloud environments and workflow managers such as Nextflow. • Experience working with secure research environments (e.g., TREs, data enclaves). Applicants should send the following documents