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email. Your profile We seek a motivated and curious PhD candidate with a strong interest in multilingual and multimodal language technologies and a passion for interdisciplinary research. The candidate
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM
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Medicine, Department of Engineering), a doctoral research project is defined and a PhD student position is open in the COMPSOIL (Computational Soil Mechanics and Foundation Engineering) research group. Your
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of competitive research proposals. You should have experience in the following areas: Applied Machine Learning for Autonomous Systems: Experience developing and deploying ML models for perception, prediction
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engineering Ability to work in a multidisciplinary research environment Strong analytical and problem-solving skills Language Requirements: Applicants must demonstrate at least B2-level proficiency in
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of critical infrastructure Technology transfer: Work with industrial and governmental partners to transfer the group's research results into functional prototypes and technology demonstrators for uses cases in
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possess: A PhD in Chemistry, Chemical Engineering, Physics, Materials Science, or a closely related discipline. Deep Technical Expertise in electrocatalysis, materials characterization, and analytical
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the use of multimodal large language models and fuzzing for metamorphic security testing. The successful candidate will join the SVV research group, headed by Prof. Domenico Bianculli, and will report to
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM
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Networks, and ICT Services & Applications. This industrial PhD position is part of the "Autonomous Systems for Land, Air and Space" (ATLAS) IPBG Programme co-funded by the FNR, SnT, and a consortium of