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to begin September 1, 2025. We will consider strong candidates in any research area but will prioritize Distributed and Parallel Computing. A PhD in computer science or a related area is required
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or
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special interest in candidates with backgrounds in Quantum Computing/Communications/Networking/Signal Processing, Advanced Packaging, Artificial Intelligence, RF Electronics, MEMS, and Parallel and
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, Computer Science, Engineering, Statistics or Data Science or other relevant discipline 3 years of experience in designing and developing scientific computing software Experience in high-performance parallel
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and software applications, including high performance computing architecture, big data storage architecture, operating systems, virtualization platforms, monitoring tools, power distribution and cooling
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applications, including high performance computing architecture, big data storage architecture, operating systems, virtualization platforms, monitoring tools, power distribution and cooling. Maintain a
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. The department’s 26 tenure-track faculty are strong in research programs in algorithms, artificial intelligence, software engineering, big data, bioinformatics, computer vision, distributed systems, augmented and
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distributed computing or HPC environments. Additional Information: Brookhaven Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is
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, or workshops. Knowledge, Skills and Ability: Ability to program in multiple programming languages like C/C++, FORTRAN, Python, R or similar scientific programming languages. Knowledge of parallel programming
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, or workshops. Knowledge, Skills and Ability: Ability to program in multiple programming languages like C/C++, FORTRAN, Python, R or similar scientific programming languages. Knowledge of parallel programming