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The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Humanities, Education and Social Sciences (FHSE) at the University of Luxembourg brings together expertise from the humanities, linguistics,...
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. Both in the practical and simulation work you will be guided and supported by other post-docs and senior researchers, in Luxembourg and from our international network of collaborators. You will be
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The SigCom research group at SnT, led by Prof. Symeon Chatzinotas, focuses on wireless and satellite communications for future 6G networks. Research includes security, IoT, unmanned aerial vehicles
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diseases. We exploit genomic and post-genomic data to fill gaps in metabolic networks, discover new enzyme functions, and elucidate their role in disease. For more information, please visit our website
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data, including TPMS (Tire Pressure Monitoring System), high-speed wheel encoders, CAN (Controller Area Network) data, accelerometers, and acoustics data. Understanding of sensor technologies and their
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Organize and prepare content/analysis for project events, such as stakeholder meetings and policy briefs Network with researchers and stakeholders to support the development of the project Engage in outreach
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senior researchers in Luxembourg and from our international network of collaborators. You will be spending time also in Cambridge and Lisbon. For further information please see the website of the ESMP
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. OPAL-RT, Typhoon), including closed-loop interaction with real hardware and field devices. Skilled in configuring and operating IoT networks with edge controllers, PLCs, PMUs, smart meters, etc
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research methods building on Impresso’s corpus of multilingual newspaper and radio sources provided by a network of Western European partners Contribute to the design of the Impresso Web App and the Impresso
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project on the study of neurological disorders. The candidate should have experience in the analysis of large-scale biomedical data (e.g., omics or clinical data), using statistical methods, pathway/network