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focuses on the development of GPU-accelerated, high-fidelity thermal runaway simulation models for lithium-ion battery cells, modules, packs, and complete battery systems. Thermal runaway is a chain
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collaborators and strong access to compute through national GPU systems (NAISS, e.g. Berzelius and Arrhenius) and local GPU infrastructure. Project description The position offers significant scientific freedom
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, e.g in a GPU architecture, and their applications to magnetic phenomena is meriting. About the employment The employment is a temporary position of two years according to central collective agreement
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GPU infrastructure. This Postdoc position is part of the eSSENCE graduate school in data-intensive science. The school addresses the challenge of data-intensive science both from the foundational
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. Experience with high-performance computing, cloud computing, GPU acceleration, or distributed data processing. Experience participating in international scientific collaborations and/or multi-institutional
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resources and a state-of-the-art in-house lab equipped with NVIDIA H100 and A100 GPUs and ten NVIDIA RTX Pro 6000 GPUs. Qualifications Requirements A doctoral degree or an equivalent foreign degree
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GPU-centric communication techniques. Collaboration & impact: We actively encourage you to publish your research in high-profile international venues, providing the opportunity to contribute directly to
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or switches into survival mode. This competition is also part of the stress responses that help bacteria resist antibiotics, making this an emerging frontier in the understanding of antimicrobial resistance