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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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genomics, proteomics, or metabolomics. Experience with relevant machine-learning frameworks, such as PyTorch, and high-performance computing (HPC) environments. Knowledge of molecular and cellular biology
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users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by Linköping University and has 12 partner universities across Sweden. Do you want to work at the
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training and resources in computational science, including high-performance computing (HPC) clusters. For more information about the DDLS program, see here. The employment In connection with your admission
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experience in several of the following areas: Open source CFD, such as OpenFOAM Machine learning, deep learning, or reinforcement learning Scientific programming in Python and/or C++ High-performance
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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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sensitive data, such as medical diagnosis. The focus of this PhD project is to develop methods for reducing the dataset size without significantly affecting the performance of a model trained on that data