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Field
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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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management of a state-of-the-art medical imaging research data center. The environment includes a robust multi-CPU/GPU architecture with virtual and physical servers, supporting advanced parallel computation
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maintenance of a viable research program. The candidate's research program should contribute to the areas of parallel scientific computing, with experience in several of the following areas: mesh generation
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the management of national and campus-level high-performance computing (HPC) clusters and their associated storage systems, including large parallel file systems, NFS file servers, and underlying storage
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 14-May-25 Location: Philadelphia, Pennsylvania Type: Full-time Categories: Academic/Faculty Computer/Information
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to effectively parallelize code, in addition to proficiency in Python and general software engineering skills. Improve software quality for non-functional requirements, such as readability and performance
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well as travel to and present at those events where appropriate. Current projects include: parallel numerical optimization with a focus on GPU acceleration, efficient embedded edge computing and machine learning
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Argonne’s core values of impact, safety, respect, integrity, and teamwork Preferred Skills and Qualifications: Experience with high-performance computing and parallel computing Familiarity with data
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the forefront of RNA biology, utilizing massively parallel reporters to identify sequence and structural elements that regulate mRNA stability and translation. In this role, the candidate will leverage
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of computational platforms. We also want to improve the accessibility of STEM education. We therefore undertake research at the intersection of Robotics and Computer Architecture, Embedded Systems