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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
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with major semiconductor companies and academic research organizations worldwide. Feel free to read more about the division here: https://liu.se/en/organisation/liu/isy/elda . To learn more about the
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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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Professor Theresia Arbring Sjöström (https://liu.se/en/employee/thear78 ), and Prof. Daniel Simon (https://liu.se/en/employee/dansi08 ). LOE is part of Linköping University’s Department of Science and
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STEM-CORE, you will contribute, along with 13 other doctoral candidates, to main aim of the project, which is to develop a robust, affordable and sustainable cell therapy for treating blindness
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priority research areas. Since 2008 REMESO’s PhD education is integrated with an international Graduate School in Migration, Ethnicity and Society. More about the REMESO research environment here https
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cybersecurity lab, vulnerabilities in isolated systems are analyzed to pioneer new research methods and train both students and professionals. More about cybersecurity research at LiU: https://liu.se/en/research
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of machine learning which clearly integrates the two subject areas within the division. For more information about STIMA, please see https://liu.se/organisation/liu/ida/stima . Linköping University is
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application! Your work assignments We are looking for a PhD student to work on the development of novel spatio-temporal machine learning methods. Our world is inherently spatio-temporal, i.e. physical processes
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learning, for example via data selection and filtering (leveraging that not all data is equally informative). You will also investigate complementary approaches that reduce inference and deployment costs