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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre...
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Successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital...
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Within the frame of the FNR-CORE funded project ENER-G (Empowering Networks of E-buses for Resilient and Green mobility), a doctoral research project is framed. The PhD topic is around and
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safety-critical domain, reducing hallucinations and improving robustness and trustworthiness are essential. This PhD targets principled ways to detect, analyze, and mitigate hallucinations in video-based
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The University of Luxembourg is seeking a Doctoral Student (PhD candidate) to join the Centre for Childhood and Youth (CCY) within the Department of Social Sciences. This position offers an exciting
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. This PhD targets principled ways to detect, analyze, and mitigate hallucinations in video-based LVLMs for autonomous driving. Objectives Design, develop, and evaluate novel method(s) to detect and localize
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feedback and evolving threats. Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Computer Science with a focus on AI and/or cybersecurity Experience and skills 1-2
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) Established Researcher (R3) Positions PhD Positions Country Luxembourg Application Deadline 1 Jul 2026 - 00:00 (Africa/Abidjan) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting
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future colleague? Apply now! Education •PhD in materials science, physics or similar. Experience and Skills •Excellent experimentalist, possible to work on an interdisciplinary project linking fabrication
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to build more trustworthy and robust AI models that can address domain-specific challenges in biomedical applications. The PhD project will focus on translating and enhancing cutting-edge algorithms from AI