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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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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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. 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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. 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
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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 samples
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captures a variety of soil conditions coupled to a modelling approach. In that context, the PhD will focus on the following issues: assessing the impacts of soil conditions and stand type (unconverted
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biology in human and animal models. Doing a PhD at our Center Embedded within both VIB and KU Leuven, we offer a unique PhD experience with access to state-of-the-art facilities, expertise, and training
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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neuroinflammation. 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
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representations from massive amounts of raw data, typically using large-scale models that incorporate only minimal prior domain knowledge. Such representations can support a wide range of downstream tasks. However