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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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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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. 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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model and patient samples. Job requirements Essential Requirements: Master's degree in Biochemistry, Cell Biology, Molecular or Structural Biology, Biological/Medical Sciences, or a closely related field
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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 light curves and spectra) of these stars analytically and through numerical methods, based on binary stellar evolution models. You will also investigate potential observable signatures of binary evolution
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of a doctorate, contains: Are you eager to improve pandemic preparedness through data-driven research? Do you want to work on real-world implementation of AI and epidemiological models in healthcare
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. These studies will initially be performed in tractable cell lines to leverage insights gained in the molecular mechanism of protein complex formation, before moving into an iPSC-derived neuronal model and patient