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Field
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a focus on emerging threats, adversarial resilience, and trustworthy autonomous decision-making. Design and implement novel research methodologies to advance the security, reliability, and alignment
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-world conditions to verify system operation against targets and demonstrate the reliability of the technology for use in backup power, grid stabilisation, and renewable energy integration applications
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under real-world conditions to verify system operation against targets and demonstrate the reliability of the technology for use in backup power, grid stabilisation, and renewable energy integration
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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. • Evaluate and recommend efficient and reliable power electronics with other merits of high-density and light-weight. • Innovate, design, and test the relevant power electronics and drives system hardware
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A PhD or MD/PhD in molecular and cellular biology or a related field. One year of experience. Track record of peer-reviewed publications or submitted manuscripts, technical expertise in cellular and
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an opportunity for a Postdoctoral Fellow. You will contribute to UNSW’s research efforts in photovoltaic research focusing on silicon cell manufacturing and solar cell and module reliability. This position will
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model reliability and predictive confidence Publish high-quality scientific results in Tier-1 journals Job Requirements: A PhD degree in Mathematics, Computer Sciences, or related areas, with focus
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for more effective treatments. One promising strategy involves mRNA-based cancer immunotherapy vaccines, which require a drug delivery system capable of reliably reaching the cytosol. Developing
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Development Goals, this PhD project aims to advance cutting-edge smart microgrid technologies by enhancing system flexibility and reliability, thereby making a significant contribution to the transition toward