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Shape the future of high-performance computing. The European DARE project is pioneering next-generation processing technologies, leveraging RISC-V and Vector architectures, and we're looking for two
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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computational and data science capabilities in life science in Sweden. Through this program, you will also have access to extensive computational training and resources, including high-performance computing (HPC
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computational and data science capabilities in life science in Sweden. Through this program, you will also have access to extensive computational training and resources, including high-performance computing (HPC
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performed in close connection to materials synthesis and characterization, with subsequent property testing. We have a strong track record in the discovery of new MXenes (2D metal carbides/nitrides), and we
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
performance in core mathematics and machine learning courses Master’s degree (or near completion) corresponding to at least 240 higher education credits in mathematics, computer science, electrical engineering
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social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues
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publish them in highly-ranked conference proceedings and journals in the areas of, e.g., AI/machine learning, software engineering, high-performance computing and/or other areas of interest. To the extent
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Effective use of AI and AI agents requires high quality data. This research is concerned with studying what data companies should collect, how they should process it, where to store it and how