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The Faculty of Engineering, Department of Applied Physics and Photonics, Brussels Photonics (B-PHOT) research group at the Vrije Universiteit Brussel (VUB) is looking for an excellent PhD candidate
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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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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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-driven models that: Predict acute and chronic NCD risks at the population scale Identify vulnerable neighbourhoods and subgroups Support public health policy, prevention and hospital planning Provide
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the frame of the FNR-CORE supported project OPTMONITOR (Optimal Monitoring and Coupled Modeling for Climate-Driven Landslide Risk Detection) at the University of Luxembourg (Faculty of Science, Technology and
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to shape disease risk. Yet most clinical risk models ignore this exposome. In BEE, we will build explainable, physics-guided, GeoAI-driven models that: Predict acute and chronic NCD risks at the population
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models ignore this exposome. In BEE, we will build explainable, physics-guided, GeoAI-driven models that: Predict acute and chronic NCD risks at the population scale Identify vulnerable neighbourhoods and
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objective remains to publish high-quality research papers on this topic while ensuring practical relevance and/or a meaningful impact on teaching. • You have a master’s degree in Engineering, Business
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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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metabolism. You will: Quantify nucleolar material state using Digital Holographic Microscopy (DHM) in cancer cell panels ± chemotherapeutics (e.g., CX-5461, oxaliplatin) and in engineered optogenetic models