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) environments, parallel computing, and scientific computing workflows is highly desirable. Familiarity with DevOps practices, CI/CD pipelines, version control systems (e.g., Git), and Agile methodologies
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some supervisory obligations, organizing curriculum subcommittee meetings, maintaining curriculum maps, and supporting continuous program improvement and supporting the development of parallel programs
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Do you have an interest in computational research and writing code? Do you want to help enable and advance pioneering social science research? If so, Princeton University's Data-Driven Social
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volcanic environments. Development and flight testing will run in parallel with field campaigns at three key volcanic sites: Soufrière Hills Volcano (Montserrat), Fuego (Guatemala), and Lascar (Chile
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welcome applications from all areas of computer science, we especially encourage candidates with expertise in: Software Engineering Cybersecurity Artificial Intelligence and related domains Parallel and
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applications. You will be hosted in the Sustainable Electronic Technologies group in the Electronics and computer science through which the Novel and Compound facilities are managed. The expertise of the team
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Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling
-Saclay and Université Versailles Saint-Quentin. It specializes in high performance computing and numerical simulations in close connection with physical applications, parallel software engineering
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 8 days ago
. Degree in Computer Science, IT, or a related field, or equivalent experience. Preferred: Familiarity with parallel computing, job schedulers, and high-speed networking. Experience with storage technologies
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computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and analysis solutions that aid in the storage, investigation and
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in a dynamic and collaborative team. In collaboration with the Edinburgh Parallel Computing Centre (EPCC) and our industry partners, the focus of the role is the development of a new solver for