72 computer-science-quantum "https:" "https:" "https:" "https:" "https:" uni jobs in Luxembourg
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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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below? Are you our future colleague? Apply now! Education A PhD’s or MSc degree in electrical engineering, automation, computer science, or a related discipline, with proven expertise in the operation and
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the field, with a strong track record of internationally competitive research in line with expectations for the respective career stage. PhD in Computer Science, Mathematics, or Engineering Research expertise
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5 Jan 2026 Job Information Organisation/Company Luxembourg Institute of Science and Technology Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions
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the field, with a strong track record of internationally competitive research in line with expectations for the respective career stage. PhD in Computer Science, Mathematics, or Engineering Research expertise
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the field, with a strong track record of internationally competitive research in line with expectations for the respective career stage. PhD in Computer Science, Mathematics, or Engineering Research expertise
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Are you passionate about cutting-edge research in Computer Vision and Artificial Intelligence? Our research group CVI2 - Computer Vision, Imaging and Machine Intelligence, headed by Prof. Djamila
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the field, with a strong track record of internationally competitive research in line with expectations for the respective career stage. PhD in Computer Science, Mathematics, or Engineering Research expertise
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of Computer Science, Faculty of Science, Technology and Medicine. The ECI PhD candidate will perform prioritized Non-Targeted Analysis across diverse water matrices and case studies, while the AI4Science PhD will
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computer science / information systems engineering. In this project, the aim is to bridge the gap between large language models (LLMs) and task automation, enabling natural language interaction, that is, via a