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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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look into systems in the small and how we can prepare them to withstand and operate safely and securely through accidental faults and targeted cyberattacks and how large scale constellations can achieve
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processes in parent-child interactions; development and programming of survey instruments; recruitment, coordination and implementation of test sessions in Luxembourg) Guidance of a team of student assistants
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-connectivity Communication system modelling, performance analysis, and simulation. Optimization tools and machine learning techniques. Hands-on experience with software-defined radios (SDRs) and/or
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topics: Software engineering practices for machine learning Tabular machine learning Large language models on structured data PhD Student Role: Under the direction of their supervisor, the candidate will
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. Include the title and short summary of your final (Bachelor/Master) Thesis if you did one List of publications (if any) Transcript of all modules and results from Bachelor/Master-level courses taken Cover
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short-term physiological responses of tree species and modified long-term dynamics of the whole ecosystem. On the other hand, vegetation demography models are numerical tools formulating forest processes
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(supervisor) The position holder will be required to perform the following tasks/will do research on the following topics: Software engineering practices for machine learning Tabular machine learning Large
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look into systems in the small and how we can prepare them to withstand and operate safely and securely through accidental faults and targeted cyberattacks and how large scale constellations can achieve
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regularly with partner teams or industry partner to gather requirements and report findings. A key aspect of the role involves implementing and open-sourcing proof-of-concept software tools, alongside