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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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. 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
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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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Nature-based solution should be evaluated and compared with other tested technologies. One main goal is to optimize existing technologies, combine them into innovative treatment trains to remove
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publications (if any) A motivation letter Previous degrees List of courses with corresponding grades Contact details of 2 persons who agreed to give references Early application is highly encouraged, as the
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comprehensive suite of software tools for developing and deploying online studies as well as collecting and processing the resulting datasets. These tools include video games, a modular online survey platform, a
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events (e.g. in the context of ALICES) Participate in the wider academic community through conference and workshop participation Teach and assist in undergraduate and graduate courses Publish research
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for applying for this topic (minimum 300 words) Full CV, including work experience Transcript of all modules and results from university-level courses taken (Bachelor's and Master's degree or equivalent) Early
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strengths and vulnerabilities in very old age and to shed light on their influence on affect experience, stress reactivity and stress regulation in everyday life of very old adults. We will examine 3 samples
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curriculum set out by the Doctoral School in Science and Engineering (https://www.uni.lu/research-en/doctoral-education/dsse ) and engage in courses and activities organised by the doctoral training unit