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expertise covering mathematics, engineering, computer science and social sciences. We offer excellent working conditions in an international and stimulating environment, along with frequent opportunities
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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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research-based innovations. Current global challenges call for transformative approaches to education, and the CHANGES project focuses on designing, implementing, and researching dissemination pathways
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://www.lih.lu Street 1A-B, rue Thomas EdisonL-1445 StrassenLuxembourg Postal Code 1445 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger
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required to perform the following tasks/will do research on the following topics: Software engineering practices for machine learning Tabular machine learning Large language models on structured and semi
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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer
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City Strassen Website http://www.lih.lu Street 1A-B, rue Thomas EdisonL-1445 StrassenLuxembourg Postal Code 1445 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail
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City Strassen Website http://www.lih.lu Street 1A-B, rue Thomas EdisonL-1445 StrassenLuxembourg Postal Code 1445 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail
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candidate is expected to assume a leading role in defining and scientifically contributing to projects at the intersection of software-defined networking (SDN), software engineering, and quantum
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, machine learning, data visualization, digital hermeneutics; an interest in media history or history of technology would be an asset Fluency in English and good knowledge of French or German Ability to work