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adapted from traditional application security testing methodologies and fail to account for the specific challenges posed by GenAI. For example, adversarial attack testing, model inversion vulnerabilities
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accessibility measure ; oTo test the usability of hybrid accessibility with practitioners.-Expected Results: oDevelopment of ‘hybrid accessibility’ as a new concept in sustainable mobility research ;oDesign of a
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week, of small group teachings and tutorials. The person will benefit from being part of large research group comprising several PhDs and Postdoctoral Researchers working on related topics of Green and
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completion timeframe and originality of contribution ;oParticipate in network-wide training events in the course of the project and complete any additional training required to successfully carry out
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proof-of-concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C++). Prior proven experience in data-driven innovation projects is
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suggest any other topic within the overarching project theme. The doctoral candidate will contribute to the teaching of classes ranging from one to three hours per week, of small group teachings and
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infrastructures and cyber-physical systems with the aim to protect our most sensitive and valuable assets. We look into systems in the small and how we can prepare them to withstand and operate safely and securely
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suggest any other topic within the overarching project theme. The doctoral candidate will contribute to the teaching of classes ranging from one to three hours per week, of small group teachings and
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methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the
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. The project will develop and scientifically test cyber range and cyber war exercises for teams, develop metrics to objectively quantify cybersecurity preparedness levels, and explore innovative way to improve