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national infrastructure for high-performance computing, AI and data, providing world-class compute and storage resources. SELLMA is conducted in close collaboration between universities, government
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tightly coupled to GPU-accelerated high-performance computing using Lund University’s national e-infrastructure. You will join an interdisciplinary research environment that values scientific independence
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principles and research data management. Experience with high-performance computing, cloud computing, GPU acceleration, or distributed data processing. Experience participating in international scientific
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generation of high-performance research infrastructure for computing, visualisation, and storage. This role suits someone with a strong background in Linux and infrastructure who enjoys working at
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computing infrastructure, integrated into high performance and sustainable services. The successful candidate will work closely with the beamline scientists in order to understand their detector
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courses and activities for PhD students in computational science. In addition, Lund University provides access to local and national e‑infrastructure for high‑performance computing and data management
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at a molecular level with applications in drug development and biotechnology. BioMAX is in user operation since 2017 with world class performance thanks to the competent and dedicated staff, high
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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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conduct computational research involving Python programming and high-throughput protein structure prediction using high-performance computing infrastructure. You will work closely with other members of
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PhD Student in Pervasive and Mobile Computing Skelleftea Reference number 4702-2026 Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely