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Field
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foundations for the next generation computing systems. Our research is currently focused on two-terminal non-volatile memory devices called memristors. These devices have shown an electrical behavior similar
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of using existing and emerging grid assets to ensure grid reliability and affordability of energy supplies. The group focuses on advanced grid modeling using advanced computing resources (e.g., quantum
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, security, and next-generation communication systems. The division also plays a key role in engineering education, particularly within the Master's programme in Information and Communication Technology. You
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Associate will contribute to a research program focused on driven quantum systems and their applications to quantum information science, particularly in superconducting circuit platforms. This work includes
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mission is to create the theoretical, computational and algorithmic paradigms that will enable us to understand the programs of life and how they connect across scales, from proteins to cells to tissues and
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to the relevant numerical methods. Looking forward, the research line explicitly aims to welcome new mathematical theories and computational paradigms, with the goal of connecting them to ACT projects and space
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tools, especially with application in drug discovery. Experience with high performance computing environment (HPC) / cluster job submission. Knowledge of statistical methods, data science algorithms
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Research and develop autonomous decision-making algorithms for process industries (e.g., chemical, pharmaceutical, materials, energy) or discrete manufacturing (e.g., electronics assembly, automotive, home
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research program in Artificial Intelligence (AI) and Mathematics. This position involves applying machine learning tools, particularly reinforcement learning (RL), to address complex research-level
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20 Jun 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Electrical engineering Engineering » Other Mathematics