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SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
, technical reports, participation in conferences) Is Your profile described below? Are you our future colleague? Apply now! Education PhD in natural sciences, material sciences, biotechnology, nanotoxicology
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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 Science
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reviewed scientific publications. Your profile PhD in Computer Science, with specialization on applied machine learning, statistical methods, and/or software engineering Strong programming skills Strong
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essential. Most importantly, the candidate should be curiosity driven and willing to constantly learn new things! Qualification: PhD degree in Computer Science, Informatics, or Software Engineering obtained
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29 Oct 2025 Job Information Organisation/Company University of Luxembourg Research Field Educational sciences » Education Researcher Profile Recognised Researcher (R2) Country Luxembourg Application
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and teaching, and support/tutor students while collaborating with internal and external partners Your profile PhD in Life Sciences/Neurosciences/Molecular Biology (or related) with strong wet‑lab
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academic and industry partners. Your profile The candidate is expected to have a PhD in Computer Science, Electrical Engineering, or Quantum Technologies, with a focus on software-defined networks, advanced
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The successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group
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activities, including engagement with students and the broader public Your profile A PhD degree in Telecommunication Engineering, or Electrical Engineering, or Computer Science/Engineering with a focus on SDN
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Assist in the support and coordination of research activities of the C2DH director Your profile PhD in History, Digital Humanities, Data Science, or a related field Strong interest in digital history