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development activities at the intersection of Agentic AI, AI Security, Trustworthy AI, Software Engineering, and Cybersecurity. The group is developing novel methods, tools, and platforms to support the safe
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to undertake high-impact research in computer security, with a particular focus on advancing methods for analysing and securing system telemetry and provenance data. You will work closely with leading
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, Trustworthy AI, Software Engineering, and Cybersecurity. The group is developing novel methods, tools, and platforms to support the safe deployment of AI systems in real-world environments. Current research
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, the research investigates how the inclusion of AI elements—such as LLMs challenges conventional architectural styles, architecture evaluation methods, and governance models, requiring new approaches
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these methods to interdisciplinary problems in healthcare and the environmental sciences About the role King's College London is seeking a postdoctoral researcher in generative AI and large language
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. You will design and optimize resilience mechanisms that estimate disruption risk and proactively reconfigure the transport network to enable autonomous recovery, self-healing, and graceful degradation
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. Key Responsibilities: · Research (90%) o Designing and performing experiments in a methodical, scientific manner using advanced biomedical research techniques o Developing and validating new
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. You will design and optimize resilience mechanisms that estimate disruption risk and proactively reconfigure the transport network to enable autonomous recovery, self-healing, and graceful degradation
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 2 months ago
systems that will benefit the development of models and methods for predicting the behavior of gas hydrates in their natural environment under natural conditions and production scenarios. RIC supports major
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 23 hours ago
Development Program to obtain pertinent, high-quality information on natural gas hydrates systems that will benefit the development of models and methods for predicting the behavior of gas hydrates in