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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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of distributed MIMO, and/or coordinated multi-AP operation (under study in the Wi-Fi 8 standardisation workgroup), using Hardware Description Language on FPGA, based on the open-source openwifi project (https
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The Faculty of Engineering, Department Toegepaste mechanica, is looking for a PhD-student with a doctoral grant. More concretely your work package, for the preparation of a doctorate, contains: We are looking for a highly motivated and skilled PhD researcher to work on structural surrogates of...
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candidate will work closely with experts in food allergy, neuroimmunology, gut physiology, and computational biology to characterize immune cell responses, construct spatial maps of inflammation along the gut
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on our shared expertise and gaining multiple new skills including not only scientific but also personal and career-development skills via our comprehensive training program. Other postitions are available
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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researcher who is passionate about developing automated systems for microbiological research. The ideal candidate has: An MSc degree in bioengineering, biotechnology, microbiology, computer science, mechanical
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full-time (100%) doctoral scholarship holder with a project focused on biomarker discovery in neurological disorders. Position The Computational Neurobiology group (Dr. Valeriya Malysheva), Gut-Immune
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omnipresent in many application domains: from listening podcasts on headphones and providing an assistive listening experience via hearing aids, to achieving audio distribution in venues. You will be performing
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to shape a more inclusive, sustainable, and innovative future. The Brussels Institute for Statistics and Information Science (BISI) is a multidisciplinary research group within the VUB, focusing on data