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, agent-based models, network models, stochastic systems, or dynamical systems Experience with R or Python Experience working in high-performance computing environments Familiarity with version control
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cell- and module level. Particular emphasis will be placed on leveraging modern heterogeneous computing architectures to enable large-scale, high-fidelity reacting-flow simulations. The models developed
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without maintenance. 2) High-performance computing by integrating Quantum Dots. They are considered truly deterministic single-photon sources and key resources for quantum photonic technologies. While
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develop innovative EO solutions. We offer: • a stimulating multinational, interdisciplinary and open work environment; • access to high-performance computing infrastructure and unparalleled EO
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Scientific Employee (f/m/d) on the 'HPC-RSE-Nexus' project / Completed university studies (Master...
years) in the specified area # Experience in the field of high-performance computing # In-depth knowledge of Linux server administration, HPC, and parallel storage systems # Knowledge of using and
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position combines MLOps engineering, research software development and technical coordination across cloud, High-Performance Computing (HPC) and federated research environments. A key focus will be the
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publicly available datasets to interpret results in a robust biological context Ensure reproducibility, data management, and documentation of computational workflows in high-performance computing
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trigger. This work will include development of algorithms for heterogeneous computing architectures and implementation of AI/ML in a real-time environment. The candidate will also have the opportunity to
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; demonstrated expertise in deep learning, preferably as applied to audio; and traditional signal processing. PREFERRED : Computational expertise: Experience with Pytorch, use of high-performance computing
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-performance computing, experience with version control tools such as Github; Psychophysics: Some familiarity with psychophysical experimentation and/or experiments with human participants, including