52 phd-rehabilitation-engineering-computer-science PhD positions at University of Luxembourg
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topics: Software engineering practices for machine learning Tabular machine learning Large language models on structured data PhD Student Role: Under the direction of their supervisor, the candidate will
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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to
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and Engineering at the University of Luxembourg, and follow a vibrant PhD program that includes training in transferable skills, support for career development, lectures and teaching by international
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unique training environment to advance microbiome science through metaproteomics. The program addresses One Health challenges by integrating research on microbial mechanisms, microbiome dynamics in various
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at the heart of Europe, the group consists of doctoral and post-doctoral researchers from diverse backgrounds (e.g., economics, business, technology), united in pursuit of sustainable solutions that positively
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infrastructure, and is currently expanding its research activities in exploring several emerging topics of next-generation communications and computing systems. For more details, you may refer to the following
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website: www.uni.lu/snt-en/research-groups/finatrax/ The selected candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with specialisation in Information Systems (IS
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Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Computer Science, or related fields. Experience: The ideal candidate should have some knowledge and experience
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student will work closely with POST Telecom’s company (Luxembourg), who is co-funding this PhD position. Research Environment The PhD student will join the Secure and Reliable Software Engineering and
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, and API misuse scenarios are underexplored areas, lacking robust frameworks to systematically address them. The research project of the PhD student will thus focus on defining a rigorous testing