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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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Inria, the French national research institute for the digital sciences | Villeneuve, Queensland | Australia | 24 days ago
, computational intelligence, heuristic search, or related areas, as well as to candidates with expertise in parallel and HPC computing combined with a solid understanding of combinatorial optimization. While
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Dhabi Kalan, Haryana | India | about 2 months ago
experts in computational microscopy and machine learning systems, blending expertise in advanced bioimage informatics and parallel computing: Dr. Min Xu – Affiliated Associate Professor of Computer
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guidance of two experts in computational microscopy and machine learning systems, blending expertise in advanced bioimage informatics and parallel computing: Dr. Min Xu – Affiliated Associate Professor
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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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optimization, polynomial optimization, stochastic optimization, semidefinite programming, non-smooth optimization, and related fields. · High-Performance Scientific Computing: parallel computing (MPI