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fundamentals of networking. Objectives: To achieve on-device spectrum sensing using on-board sensors of mobile BSs, empowered by embedded deep learning algorithms; to propose an analytical model for the cell
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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model-based control tailored to systems like NudgeFlow. The framework decomposes the global control problem into smaller local problems for each zone or room, enabling independent optimization with local
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of the anti-MMP9 Nano-antibodies in a mouse model of delayed healing and a 3 weeks training at Nordic Bioscience( Herlev, Denmark) in the team of Dr. Signe Holm Nielsen to establish a Nano-antibodies based
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between environmental and socioeconomic exposures and acute coronary syndrome (ACS) in Belgium. It combines national hospital admission data (2012–2021) with high-resolution environmental modelling
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trustworthy mathematical models that are calibrated to measurement data. We are motivated by applications in engineering in which the system models are partial differential equations (PDEs) with potentially
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applications which is hindered by the lack of a molecular understanding of their formation process. This is particularly true for zeolite synthesis which is characterized by a very complex reaction network in
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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methods to study dynamic cellular processes (live calcium imaging, pathological protein assembly, imaging of signal cascades) at spatial levels ranging from a single molecule to (entire organs of) model
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modelling at patient residences. A first paper from this work is expected in September 2025. BEE (Brussels Environmental Exposome Project, Innoviris Research Platforms 2025–2029) builds on EMIR to study