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that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/ . The candidate will be funded through an industry partnership with Luxembourgish Leader
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engineering practices for machine learning Tabular machine learning Large language models on structured and semi-structured data Research Associate Role: Under the direction of their supervisor, the candidate
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, and information extraction. The position is linked to the Interdisciplinary Research Group in Sociotechnical Cybersecurity (IRiSC-https://irisc-lab.uni.lu/ ) within the Interdisciplinary Centre
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experimental psychological research in Luxembourg and holds leading expertise in the design of cutting-edge research facilities. EPSYLON is a unique faculty structure for research, but also training at BSc, MSc
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that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/ . Successful candidates will perform the following tasks: Conduct cutting-edge research in
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Language Models for Data-to-Text Problems” and involves the study of technical methods and approaches for adapting large language models to tasks mixing text and structured data, such as statistical report
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. The group consists of doctoral and post-doctoral researchers from diverse backgrounds. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects Successful candidate
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technologies that have a positive impact on society. For further details, please visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/ The candidate will support project partnerships with
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technologies that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects The successful candidate will pursue a Ph.D. degree (Doctorate) in
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that positively impact society. For more information, please visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/