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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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, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of the
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partners. Tasks and responsibilities You will conduct computational research involving Python programming and high-throughput protein structure prediction using high-performance computing infrastructure
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the world’s largest research environments in computational science, with large activities in areas such as machine learning, optimization, scientific software development and high-performance
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substantially better performance as compared to traditional power electronic devices based on Si and SiC. The position is part of a large initiative funded by KAW to develop a comprehensive platform
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observations to models or satellite products. Experience with high-performance computing environments. Employment Type of employment: Fixed-term employment, 3 years. Extent: Full time, 100%. Location