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Qualification: Master in Computer Science and/or Cybersecurity or equivalent degrees with expertise in at least one of the above areas (dependability, real-time systems, operating systems
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looking for PhD Students in areas related to: Cybersecurity, Privacy and Cryptography Machine Learning and Data Science Efficient Algorithms and Foundations of Theoretical Computer Science Software
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looking for PhD Students in areas related to: Cybersecurity, Privacy and Cryptography Machine Learning and Data Science Efficient Algorithms and Foundations of Theoretical Computer Science Software
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degree is accepted. Excellent grades in computer networks, distributed systems, or cybersecurity courses Strong programming language skills Strong written and verbal communication skills in English The
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Are you a cybersecurity and/or AI researcher who enjoys a challenge? Are you excited about pioneering new research areas that will impact academia, industry, and national security? If so, we want
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Are you a cybersecurity and/or AI researcher who enjoys a challenge? Are you excited about pioneering new research areas that will impact academia, industry, and national security? If so, we want
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specifically investigate the cybersecurity benefits for frontline workers in manufacturing and healthcare contexts. It will also explore broader security and privacy implications for knowledge workers
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via RMIT University application portal. Apply via RMIT University application portal. Potential candidates must have a good hold of distributed software systems, machine learning and cybersecurity
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, explores opportunities to design a high-performance RISC-V-based platform to support analytics and AI applications. Part of this research, aspects of cybersecurity for data collection and processing would
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the machine learning based forecasts. Furthermore, since optimisation involves data exchange between different entities in the grid, data exchange cybersecurity is an important concern. The PhD project will