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environmental modeling to understand how changing redox conditions (such as hypoxia and re-oxygenation) influence the behavior of actinides like plutonium (Pu) and americium (Am) in sediment and seawater. You
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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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in another way. Knowledge of mathematical modeling, building simulation, CFD or measurements is an advantage. You also have a genuine interest in energy issues in general and see this as an important
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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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, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of artificial intelligence (AI) systems, integrating LLMs with external tools and memory
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the transition towards more regenerative and adaptable furniture systems. Results will be shared through publications, demonstrator projects, and educational models, strengthening the link between research
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30 Aug 2025 Job Information Organisation/Company Linköping University Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 29
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5 Sep 2025 Job Information Organisation/Company Linköping University Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 23 Oct
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30 Aug 2025 Job Information Organisation/Company Linköping University Research Field Computer science » Digital systems Technology » Information technology Technology » Interface technology
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Sweden Application Deadline 23 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference