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the journey toward new and clever ways of using data? We are looking for skilled system software developers with an interest in developing system infrastructure to help us reach our goal of making AI and HPC
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offered by DeiC must support the universities' needs for national infrastructures, specifically for DM, but just as importantly, must integrate with other infrastructure services, including HPC (high
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of code to utilize GPU-acceleration on DTU’s high-performance computing cluster or other HPC systems. You will also analyze realistic physical implementations of the architectures you explore, with a
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to enhance efficiency, power density, and performance in applications such as high-performance computing (HPC) systems and artificial intelligence (AI) accelerators. Responsibilities and qualifications As a
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. The applicant should have: A PhD in meteorology, climatology or other related fields Experience in mesoscale modelling, preferably WRF Experience of scientific programming and running code on HPC systems
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modelling, preferably WRF Experience of scientific programming and running code on HPC systems Experience with Fortran, Python and Linux Shell Any of the following is advantageous but not essential
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visualization, and AMR gene annotation Laboratory experience with MinION sequencing Proficiency in R, Python, and Unix (bash/shell) environments Experience working on HPC clusters (e.g., Computerome) Demonstrated