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Field
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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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Department of Land Surveying and Geo-Informatics Research Assistant Professor in Geospatial Artificial Intelligence (GeoAI) / Geomatics / Global Change Ecology / Urban Science and Sustainability
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applications for one Research Assistant Professor (RAP) position in Computer Science (CS) Education Research and Artificial Intelligence (AI) in Education. This position is designed to strengthen the College's
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undergraduate student training. Qualifications Ph.D. and minimum one year postdoctoral training in entomology or related discipline. Experience in computational modeling and artificial intelligence is desirable
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(graduated or close to graduation) in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Applied Mathematics, or related fields. Scientific curiosity and creative thinking
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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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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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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
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and data-driven developer tooling. More precisely: The candidate should hold a Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Computational Linguistics, Data Science
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Intelligence, Computational Linguistics, Data Science, or a closely related field Strong programming skills, e.g., Python, and familiarity with machine learning and/or software engineering workflows; experience