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Field
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application of AI to cybersecurity. We welcome applicants working in one or more of the following areas: AI security; trustworthy machine learning and interpretability; or applying AI to software
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, large language models, generative AI, model protection, adversarial machine learning, and agent security. Experience in adversarial machine learning, agent security, federated learning, and model
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Initiative aims to significantly advance knowledge within the cybersecurity community. Baylor is designated by the National Security Agency (NSA) as a National Center of Academic Excellence in Cyber
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for automatic code optimization in Tiramisu. In particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module that relies on machine
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conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring
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systems/application security, privacy-preserving computing, applied cryptography, formal methods for security, security of machine learning systems, machine learning for security, hardware security, IoT
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Defensive Cyber Operations, available at the Digital Security Research Group within the Department of Informatics at the University of Oslo. Starting date as soon as possible and no later than
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the energy and mobility sectors. Working independently and collaboratively, you will apply your expertise in robotics, machine learning, battery systems or a related discipline to deliver project
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, high-impact research. Experience in cybersecurity for cyber-physical systems, digital twins, BIM, AI and machine learning, robotics, or digital construction technologies is highly desirable. Strong
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development within the SEDAN group ( https://www.uni.lu/snt-en/research-groups/sedan ). The ideal candidate will have expertise or a strong interest in artificial intelligence, machine learning, and digital