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, industrial and international partners. SnT is active in several national projects funded by National Research Fund (FNR) and local industries, and international research projects funded by the EU FP7 program
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or simulated industrial scenarios. Is Your profile described below? Are you our future colleague? Apply now! Education PhD in Computer Science, Telecommunications, or a closely related field. Strong background
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. The post-doctoral fellows will be supported through FNR CORE projects and will join an interdisciplinary project team, including biologists, medical imaging & computer science experts. The position foresees
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Fixed term contract
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We offer an attractive research associate (postdoc) position in the context of a collaborative research project with the European Investment Bank (EIB) group, supported by the STAREBEI (STAges de
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Researcher (R2) Positions PhD Positions Country Luxembourg Application Deadline 15 Nov 2025 - 12:00 (Africa/Abidjan) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 5 Jan
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Associate in Citizen Participation in Science and Decision-making to contribute to innovative research at the intersection of social sciences, geospatial data, and experimentation. This position is tailored
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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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SD-26065 -POST-DOC IN METHOD DEVELOPMENT FOR HIGH RESOLUTION CHARACTERIZATION OF NOVEL SAFE AND S...
of the position. The position is placed in the highly interdisciplinary Advanced Instrumentation for Nano-Analytics group at LIST’s Scientific Instrumentation and Process Technology unit. During the past ten years
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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