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on the cloud or high-performance computing (HPC) systems that can store, search, analyze and annotate data of the volume and complexity of the Rubin Observatory’s Legacy Survey of Space and Time (LSST) data
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 13 days ago
-space correlation techniques # Development and implementation of modern theoretical approaches # Application of high-performance computing (HPC) in quantum chemistry and materials science Your profile
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reconstruction to overcome these challenges. Your tasks - develop physics-informed, self-supervised learning approaches for phase retrieval - implement reconstruction algorithms on HPC clusters for large-scale
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on HPC clusters for large-scale hierarchical tomography apply algorithms to experimental tomographic data collaborate closely with beamline scientists and project partners publish and present results in
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has recently been awarded by the European Commission. For information about this project can be found here: https://www.agriscience.fm Your duties and responsibilities: Familiarise with the state
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understand, explain and advance society and environment we live in. Your role Create and deliver HPC training modules specifically designed for industrial partners and public administrations Provide high-level
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: high-throughput (HTCondor) and high-performance (HPC) computing; a dedicated research VM platform; data management and storage; edge computing; and highly-secure platforms for hosting/processing
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resources to researchers at the University of Chicago. It is dedicated to enabling research by providing access to centrally managed High-Performance Computing (HPC), storage, and visualization resources
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(Docker, CI/CD scripts) and support cloud/HPC model training. Plan, run and analyze pilot studies (SME pilots and lab validation); participate in data collection, annotation and lab assay coordination