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methods that reveal what is happening inside batteries in real time. Your work assignments The project develops next-generation methods for understanding and predicting lithium-ion battery behaviour using
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Rising Innovative city . The position is formally based at the Division of Statistics and Machine Learning (STIMA) within the Department of Computer and Information Science. At STIMA we conduct research
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of habitat diversity in agricultural environments as a proxy for potential biodiversity. You will plan and conduct field measurements and perform data analysis in a large interdisciplinary project group
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-based feedback in high dimensions is still carried out without a solid theoretical foundation. This leads to unpredictable behavior, which is a major bottleneck for efficient and resilient control
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formally based at the Division of Statistics and Machine Learning (STIMA) within the Department of Computer and Information Science . At STIMA, we conduct research and education in both statistics and
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://visualiseringscenter.se . You will follow the study plan provided by Technology and Science Education Research (TekNaD), at the Department of Behavioural Sciences and Learning (IBL). The PhD student will be part of
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announced at LU soon. The current position is formally based at the Division of Statistics and Machine Learning (STIMA) at the department of computer and information science . At STIMA, we conduct research
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workplace The position is formally based at the Division of Statistics and Machine Learning (STIMA) within the Department of Computer and Information Science . At STIMA we conduct research and education in
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Innovative city . The position is formally based at the Division of Statistics and Machine Learning (STIMA) within the Department of Computer and Information Science . At STIMA, we conduct research and
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of real-time behavior, security breaches, and system-wide failures. The goal of this project is to develop a theoretical foundation for understanding and mitigating memory poisoning in LLM agents