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candidate will work on Bug Report Intelligence for the Generative AI Era (BRIDGE) - exploring approaches to transform unstructured bug reports into actionable insights that connect to code, support diagnosis
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research agenda on trustworthy, data-driven software engineering and AI-assisted development. The successful candidate will work on Bug Report Intelligence for the Generative AI Era (BRIDGE) — exploring
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at the interface of probability theory and artificial intelligence, whose goal is to rethink and structure the way mathematical research is produced in the era of AI. Key Responsibilities: Designing and implementing
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as part of the CET (Comité d’Encadrement de Thèse) and will be daily supervised by the Postdoc employed in the project by UL. The PhD candidate will join the Mobilab Transport Research Group, a dynamic
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research on trustworthy AI, focusing on methods that improve the transparency, reliability, and interpretability of intelligent systems in safety-critical domains like autonomous driving.
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are used as readouts in drug screening approaches, to identify molecules that, after in vitro and in vivo validation, could be potentially used in future intelligent clinical trials. The clinical research
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, Max Planck Institute for Intelligent Systems, VU Amsterdam, TU Eindhoven, UT Austin, or the University of Oxford. In addition, our group has excellent collaborators world-wide. Summer schools and