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, model data integration, data mining, land surface models, ecosystem fluxes, isotope methods, biodiversity, organismic interactions, biological mineral formation, paleoclimatology, micropalaeontology and
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, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS ) aims to recruit and train the
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testing and computational modelling. You'll become part of a diverse, multidisciplinary team that prioritises equity, diversity, and inclusion, gaining specialist expertise in hydrogen-material interactions
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to trick AI-based models, pay little attention to fake-normal data traffic generated by Generative Adversarial Networks (GAN). This PhD research will address a major vulnerability in AI based smart grids by
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-class facilities, enhancing their skills in materials characterisation, computational modelling, and experimental testing. These experiences will position the graduate as an innovator, ready to
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global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS ) aims to recruit and train the next generation of data-driven life scientists and to create globally
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-engine aerodynamics. The project is aligned with the acknowledged skills development needs in the areas of aircraft/propulsion integration, aerodynamics, modelling, software development, research testing
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and robustness of defenses and mitigations for AI systems, reverse engineering AI systems and models, and identifying new areas where security research is needed. We participate in communities
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develop a comprehensive understanding of the wider aviation ecosystem. This holistic experience ensures graduates are prepared to lead and accelerate aviation decarbonisation efforts from various roles in
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University is a member of Australia’s Group of Eight coalition, and is internationally recognized for excellence in research and teaching as one of the world's top 80 universities. Embedded in an ecosystem