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, C/C++, Go, or Rust). Familiarity with containerization and orchestration technologies used in HPC (Singularity, Apptainer, Docker, Kubernetes). Understanding of high-speed interconnects (InfiniBand
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for scientific applications. Also required is strong experience from employing specialized HPC libraries as well as developing scientific applications using languages such as C++ and Python. Also required is that
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languages (C-Petsc C) and HPC is preferred; max 5 publications Eligible destination country/ies for fellows: Italy Eligibility of fellows: country/ies of residence: EUROPE Eligibility of fellows: nationality
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for partial differential equations. Experience or a strong interest in the study of Van der Waals-type diffuse interface models is required. Knowledge of scientific programming languages (C-Petsc C) and HPC is
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theses with outstanding grades, excellence scholarships, academic recognitions, authorship of research articles and/or reviews in indexed journals within biomedical research). - Experience working in HPC
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 5 days ago
programming skills in languages such as Python, C/C++ and CUDA # Familiarity with modern deep learning frameworks like Tensorflow 2.x.x, PyTorch # Mandatory experience with High-Performance Computing (HPC
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 5 days ago
into the high-performance code hawen (https://ffaucher.gitlab.io/hawen-website/ ) with the support of the development team, enabling their application to real-world applications. The program will be divided
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Center for Advanced Systems Understanding, Helmholtz Center Dresden-Rossendorf | Germany | 6 days ago
environment Excellent programming skills in languages such as Python, C/C++ and CUDA Familiarity with modern deep learning frameworks like Tensorflow 2.x.x, PyTorch Mandatory experience with High-Performance
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Centre (STARC) The Energy Environment Water Research Centre (EEWRC) The Climate and Atmosphere Research Centre (CARE-C) The Science and Technology Driven Policy and Innovation Research Centre (STeDI-RC
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information about the network: https://euraxess.ec.europa.eu/jobs/401249 1. Context and Challenges Title: Physics-Informed Neural Operators (PINO) for Ultra-Fast Tomography: Toward Fundamental and Generalizable