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projects in and around the group address, among other things, AI-supported code review, semi-automatic code improvement, trust calibration in LLM-assisted refactoring and the design of trustworthy agents in
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publications, conference presentations, data and code management, open-science practices, and communication of results to scientific and wider audiences. Qualification requirements Appointment to a post-doctoral
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engineering practice, collaborative development experience (e.g. Git/GitHub), and ability to use AI-assisted coding tools effectively. Strong communication and collaboration skills, with the ability to work
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