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infrastructure for high-performance computing, AI and data that provides state-of-the-art services to more than 7,000 researchers as well as other collaborators. We operate the Arrhenius mid-range EuroHPC system
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. The following education, experience and expertise are required: solid knowledge in machine learning, optimization, or algorithm development programming experience, preferably in Python In addition, the following
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material, and produces high-quality documents. Furthermore, you have a solid understanding of numerical data and can solve numerical tasks quickly and easily. Experience in route optimization and strong
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hampered when the number of time samples is small compared to state dimensions, while latency and stability remain central concerns. As a result, learning-based feedback in high dimensions is still carried
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18 Dec 2025 Job Information Organisation/Company Linköping University Research Field Communication sciences Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 6 Feb
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around us evolve over both time and space, making spatio-temporal processes and data omnipresent in science and technology, with applications ranging from weather forecasting to cardiovascular medicine
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for radio transceivers, validated through measured and verified state-of-the-art performance. Results are expected to be disseminated through high-impact international journals and leading conferences in