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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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that values equity, diversity, and inclusion, gaining unique expertise in aerospace systems design and integration (airframe, engine, subsystems), system of systems optimization, multi-fidelity models
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, etc. Develop life cycle inventory (LCI) datasets and life cycle impact assessment (LCIA) methods to quantitatively assess the impacts of food production, processing and consumption on ecosystems, human
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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 next generation of data
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methods in applied mathematics and computational modeling, this specific project aims to uncover new insights into how blood cells form in both healthy and disease states. A key objective is to model
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clients, locations and ecosystems. Established in 1914, the UO School of Architecture and Allied Arts was one of the first to break away from Beaux-Arts pedagogy to emphasize non-competitive, individualized
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, Agroforestry Ecosystem Modelling Biodiversity Wildlife Management Course organisation Within the programme, students focus on their individually proposed PhD projects under the supervision of one
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participate in the broader security community. Study and influence the AI security and vulnerability disclosure ecosystems. Evaluate the effectiveness of tools, techniques and processes developed by industry
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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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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