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/ is a future-oriented research group with the main strengths and focus topics: Self-driving vehicles, driving algorithms and cyber-physical system Sensor fusion, perception and big data Cybersecurity
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and emerging applications, such as multi-domain autonomy and aerial mobility. With rising risks to PNT systems from interference, spoofing, and cyber-physical attacks, unified, security-aware integrity
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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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Job Description If you are passionate about advancing the frontiers of process mining and data-driven intelligence, and you want to build your career in one of the fastest-growing research areas
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Renewable Gas Systems, we develop innovative digital and analytical solutions to enable secure, flexible, and data-driven electricity grids. By combining digitalisation with advanced planning and operational
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This self-funded PhD opportunity focuses on assured multi-domain positioning, navigation, and timing (PNT), integrating data from space-based, terrestrial and platform-based sources of navigation
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an interest in computer security. In addition to a curious mind, you posess excellent programming skills. You have excellent communication skills in English, both written and oral. TU Delft (Delft
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opportunity to participate and propose other projects within the group and so also develop his/her/their own research agenda. We are working on various topics related to applied ML and cyber-security, including
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an important contribution to solving complex technical-social issues, such as energy transition, mobility, digitalisation, water management and (cyber) security. TPM does this with its excellent education and
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computer science, artificial intelligence, or mathematics. You can demonstrate an interest in computer security. In addition to a curious mind, you posess excellent programming skills. You have excellent