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to protect AI models against data leakage during inter-departmental information sharing. With the National Police heavily relying on sensitive data exchanges, this research will develop secure machine learning
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reshape safety certification frameworks for safety critical systems leveraging AI and IoT technologies? This project aims at advancing inspection and data collection strategies optimization, and their
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inspection and data collection strategies optimization, and their integration within novel data-driven risk assessment methodologies and safety certification frameworks. We focus on vertical transport (lifts
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security - A very good knowledge in programming (such as in C, Java or Python) - In-depth understanding of computer systems (assembly code, compilers) Additional Information Work Location(s) Number of offers
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educational programs in Computing Science, we are now seeking a PhD student with a focus on Computer Security. The Department of Computing Science has been growing rapidly in recent years, with a focus on
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-time and/or external study is obtained). Road safety is an interdisciplinary area of research so a range of skills and experience will be considered, including: a background in public health, psychology
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description Trustworthy machine learning is an umbrella term that provides methods and tools to ensure that AI and ML systems are verifiable, robust, secure, privacy-preserving, and ethical, which leads
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analysis tools, and to a big data analysis platform with substantial computing resources for their processing. Where to apply Website https://networks.imdea.org/job/phd-position-in-iot-security-and-privacy
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well as climate mitigation technologies. This PhD position is also part of the interdisciplinary Climate Safety & Security centre (CaSS) at TU Delft | Campus The Hague. This centre runs an ambitious and
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interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and