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computer science / information systems engineering. In this project, the aim is to bridge the gap between large language models (LLMs) and task automation, enabling natural language interaction, that is, via a
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placed on synthesis approaches, such as meta-analytic techniques and the analysis of large-scale health data, to systematically integrate evidence and identify patterns across diverse health outcomes
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large part of the project is dedicated to better integrate automation into multiple facets of cyber-range operation, including the federation of infrastructures to deploy complex scenarios in multiple
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use to break into the IT system. Because attack surface became large and diverse [Rizz20], Automated External Attack Surface Management (EASM) cannot be limited to naive IP address scanning or simply
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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Research Group. Tasks: Conduct and co-lead quantitative research within large-scale mixed-methods projects Contribute to and coordinate primary data collection and analysis (e.g. surveys, survey experiments
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psychometric measures within ÉpStan Support the coordination, quality assurance, and logistics of large-scale assessments Conduct statistical analyses on data related to mathematics achievement testing Present
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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and in vivo imaging modalities using state-of-the-art animal models for cancer research. The post-doctoral researcher will work on a large, FNR CORE-funded project aimed at exploring the complex