24 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" "Dr" PhD research jobs in Luxembourg
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, economics, and other fields, united by a shared commitment to advancing sustainable technologies that benefit society. For more information, please visit our website: https://www.uni.lu/snt-en/research-groups
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initiatives For further information, please contact Dr. Sandrine Medves (email address: sandrine.medves@uni.lu ) . Use the job reference number mentioned above in the subject line of your email.
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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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We offer a fully funded PhD student position within the TruX Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The position is supported by Google.org and is embedded in a broader research
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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
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 headed by Prof. Dr. Tegawendé F. Bissyandé. The position is embedded in a broader research agenda on trustworthy, data-driven software engineering and AI-assisted development. The successful
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within the project AI4TECS Writing a doctoral dissertation in computer science Publishing research findings in leading international conferences and high‑impact journals in AI, machine learning, and
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21 Feb 2026 Job Information Organisation/Company University of Luxembourg Research Field Educational sciences » Education Researcher Profile First Stage Researcher (R1) Application Deadline 20 Feb
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7 Feb 2026 Job Information Organisation/Company University of Luxembourg Research Field Educational sciences » Education Researcher Profile First Stage Researcher (R1) Application Deadline 6 Feb
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embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and