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, embedded intelligence, and adaptive cyber-physical systems that operate safely under uncertainty and dynamic conditions. This PhD at Cranfield University explores the development of resilient, AI-enabled
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the physical world and must cope with its continuous behaviour. An increasing number of cyber-physical systems operate in safety-critical domains. Examples are autonomous vehicles, robotic surgery, traffic
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to a two-year master's degree in a field related to one or more of the general areas of Computer Science, Computer Engineering, Telecommunication, Electronics. Approval and Enrolment The scholarship
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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International Development Studies – IDS Ruhr Graduate School in Economics – RGS Econ Clusters of Excellence Graduate School Solvation Science (iGSS) CASA Graduate School — Cyber Security in the Age of Large Scale
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of security measures. Therefore, based on information from open sources, background checks may be conducted on candidates for the position. Further information for international applicants about
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Project title: Privacy/Security Risks in Machine/Federated Learning systems Supervisory Team: Dr Han Wu Project description: In the wake of growing data privacy concerns and the enactment
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Cyberbullying
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, Biology and Mathematics, Humanoid Robotics, Cognitive Science, Mechnotronics, Advanced Manufacturing, Cyber security, Encryption and decryption, Petroleum and Petro-Chemical Engineering, Science of Climate