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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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architecture, cluster management, parallel computing, and performance optimization while helping evaluate and introduce emerging technologies that advance mission capabilities. You will work alongside
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) High-Performance Computing (HPC) team supports this mission through a rapidly evolving research computing environment featuring advanced GPU platforms, large-scale parallel storage, hybrid cloud
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computer science or a related discipline. Good knowledge of agentic AI/AI workflows, parallel computing, algorithms, and system performance analysis and optimization. Proficiency in programming languages
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in HPC architecture, cluster management, parallel computing, and performance optimization while helping evaluate and introduce emerging technologies that advance mission capabilities. You will work
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to closely collaborate with CS faculty members Sriram Pemmaraju and Sourya Roy on sampling problems in the distributed and parallel computing setting. The ideal candidate will have research experience
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related experience. Unix skills. Experience with scripting and automation (e.g., R, Bash, Python) Understanding of the principles of computer clusters – parallel computing, resource allocation, multiple
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) specialization such as cluster management, parallel computing, and performance optimization. Hardware and software: The ability to deploy, administer, and monitor hardware and software components
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extensive experience in HPC architecture, cluster management, and parallel computing, with a proven ability to work within highly secure and regulated environments. This role involves close
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. Keywords Image processing; Machine learning, Computer vision; Statistical methods; Parallel and distributed computing; Software engineering; Standards; Eligibility citizenship Open to U.S. citizens level
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, and parallel computing, with a proven ability to work within highly secure and regulated environments. This role involves close collaboration with security teams, scientists, and IT leadership to