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extended from cloud solutions (such as OpenLLMetry), the research question is how to identify anomalies in collected information that can come from multiple AI services either invoked manually by users or by
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is vital to the security of our society. We teach and conduct research in cyber security, information security, communications networks and networked services. Our areas of expertise include biometrics
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of electrical systems and system analysis to find possibilities for electrification and decarbonization diagnostics and monitoring of equipment and systems cyber security, 5G data communications, and artificial
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2 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Process engineering Engineering » Simulation engineering Researcher Profile
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-based modelling, quantitative resilience assessment, and risk analysis to simulate and optimise resilience strategies. The framework will be tested and refined through pilot studies in collaboration with
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for global industries, all while collaborating with experts in the prestigious International Systems Realisation Partnership. Furthermore, the student will gain invaluable skills in data analysis, problem
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languages (C,C++, Python) Knowledge of offensive security Good scientific writing Involvement in the preparation of articles for publication in scientific journal(s) Data analysis skills Knowledge of advanced
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should have a strong foundation in artificial intelligence, machine learning, and multi-agent systems, along with experience in programming, data analysis, and model development. Knowledge
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generation of social, computer-based, and cyber-physical systems that make a substantial contribution to the welfare of our society, for example, via embodied intelligent systems that are tailored to users
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. The applicant should fulfill the following requirements: • Hold a Master’s degree in Computer Science, Psychology, Multimedia or related subjects and have good programming skills, skills in data analysis (ideally