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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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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
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to demonstrate consistent knowledge in areas such as structural monitoring and/or engineering mechanics and/or numerical modelling and/or data post-processing. The research activities will be performed within
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renewable energy generation.KU Leuven leads Modelling and Optimization, which focuses on: Developing hybrid models combining first-principle and machine learning approaches. Creating predictive frameworks
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monitoring will also be integrated into this PhD. Thermal prediction models are currently implemented on a Field Programmable Gate Array (FPGA), while the thermal PI controller (which will be further developed
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To analyse tick abundance data To collect and analyse tick abundance data in relation to forest management in the context of climate change To apply an existing population dynamic model to our study cases
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Use our large international network of expertise Imec itself is not giving PhD degrees but acts as a host research institute for PhD and postdoc research in collaboration with 5 Flemish universities: KU
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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. The PhD student will focus on characterizing immune cell responses in food allergy models and their impact on brain immunity. In close collaboration with experts in food allergy, neuroimmunology, and
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high-dimensional settings). Furthermore, when developing appropriate statistical methods, one should avoid making unrealistic (too restrictive) assumptions. This calls for flexible modelling and