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series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related areas, but application to dynamic systems is
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cyber-physical systems (CPS). ESLAB’s work spans advanced system design, dependable computing, and emerging applications in autonomous and safety-critical domains. As an associate professor in Cyber
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arrangement. In a collaboration between the Hellmuth group (computational mathematics, Stockholm University) and the CATSA group (materials science, Linköping University), we aim to develop methods
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of flight operations, particularly in areas related to fuel consumption and future urban air transport systems. Your tasks will include developing, adapting, and testing computational tools, including
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application! Work assignments Your work duties will include research in the area of theoretical modelling of disordered magnetic materials. This involves method development, large-scale computations, and
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. This involves method development, large-scale computations, and simulations of complex systems where magnetism is coupled to atomic structure and atomic vibrations. As postdoc, you will principally carry out
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computer-controlled techniques. Through practical experiments, the doctoral student will push the boundaries of these materials, uncovering new design expressions while deepening the understanding
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components to execute complex reasoning and decision-making tasks. These agents are increasingly deployed in domains such as healthcare, finance, cybersecurity, and autonomous vehicles, where they interact
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visualization and human-AI (artificial intelligence) interaction (human-computer interaction). As an Assistant Professor in Information Visualization and Human-AI Interaction, you will teach at undergraduate and
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Application Deadline 31 Oct 2025 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not