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and HPC/GPU systems, with version control (git) and reproducible workflows (conda or containers, Snakemake or Nextflow).•Able to work independently as well as within an interdisciplinary, international
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supercomputer hardware. The research work will be informed by collaborations with the scientific computing team that manages the local HPC resources at NTNU, and Uninett Sigma2, which manages both the Norwegian
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, implementation, and validation of architectures and methodologies for efficient and distributed data processing along the Edge-Cloud-HPC continuum, through the integration of Artificial Intelligence techniques
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CRC2 & Mitchell Funded Tenure-Track Faculty Positions in Supercomtuping and High-Performance Computi
Queen's University - Electrical and Computer Engineering, Smith Engineering | Kingston Downtown, Ontario | Canada | about 18 hours agolibraries (e.g. SCR, Adios, HDF5 and concepts e.g., POSIX). • deep expertise in one or more supercomputing/HPC research areas. Examples of possible expertise (not an exhaustive list) include: o
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of electromagnetic tracking for adaptive Jacobian control or student group project work. Introduce and manage HPC & Containerization. Build and maintain containerized workflows using both Docker and Apptainer across
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such as Pointwise, Link3D, SABRE Experience with HPC systems and MPI communication Knowledge of algorithms for hypersonic CFD Understanding of physics involved in hypersonic systems About the Department
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, workshops, and conferences, providing opportunities for professional development and scientific exchange. This collaborative dynamic, combined with the location in Grenoble, Where to apply Website https
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Max-Planck-Institut für Struktur und Dynamik der Materie | Hamburg, Hamburg | Germany | 2 months ago
Computing Services, we are seeking an IT Specialist for Linux System Administration and HPC (m/f/d) Your position: The position is embedded within the IT Services team and works in close collaboration with
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of reproducible research methods and software version control (e.g. git/GitHub). • Experience using high-performance computing (HPC) environments and job scheduling. About the Department The Department
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for advanced research. A7. Knowledge of scaling and optimising software to take advantage of GPU / HPC infrastructure. Desirable: B1. Knowledge of Trusted Research Environments out with or within an HPC