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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 conducts research on the application and the impact of digital technologies like DLT/Blockchain,...
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Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All
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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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in the highly interdisciplinary Advanced Instrumentation for Nano-Analytics group at LIST’s Scientific Instrumentation and Process Technology unit. During the past ten years, we have been developing
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is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals
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PhD thesis. If you choose a publication with multiple authors, please also explain your own contribution Early application is highly encouraged, as the applications will be processed upon reception
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(Luxembourg) Deadline: no strict deadline — applications will be processed upon reception Expected start: flexible (after January 1st, 2026) LISER invites applications for a postdoctoral Research Associate
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centre of the University of Luxembourg, combining experimental, medical and computational approaches to analyze complex biological systems and disease processes. In this frame, the Medical Team aims
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Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
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environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision, radiomics and deep learning approaches. The team has a double