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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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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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, 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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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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sequence alignments. In this project, we will conduct a comparative study of noncoding genomic regions. You should have expertise in algorithm design and high-performance computing, particularly in
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Linköping University, and aims to understand the cybersecurity challenges in software-intensive and high-performance communication networks using AI-powered methods. We will advance the research front
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of large bandgap semiconductors has been at the international forefront. More information can be found at: www.ftf.lth.se , www.nano.lu.se , https://kaw.wallenberg.org/en/research/semiconductor
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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