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neuroimaging techniques. You will conduct both neuroimaging and neural network modelling studies to determine whether and how combining information across multiple sensory modalities (vision and touch) may
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architectures and principles from Bayesian neural networks and biological sequence models, including large DNA and protein language models. The project also aims to develop a prototype federated learning
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their expertise together to establish neural organoid models recapitulating aspects of neural-microglia interactions in neurodegenerative diseases at Ghent University. About project MINDFUL: Lipid accumulation in
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, accurately and securely. Goal of this PhD project High-capacity neural models, such as transformers, have been pivotal for establishing general-purpose models for a wide variety of natural language tasks
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advantage if you can provide a link to a code repository of a project where you are the main contributor.- Experience in implementing machine learning methodologies, specifically neural network-based methods
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key regulators of inflammation and tissue remodeling in gut and skin diseases. • Apply and refine AI/ML methods, including deep learning, neural networks, and interpretable models (e.g., SHAP, BioMapAI
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project entitled ‘MINDFUL: MIcroglia directed NeuroDegeneration FUeled by Lipid metabolism’, prof. Dmitriev and prof. Vergult will put their expertise together to establish neural organoid models
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neuroimaging techniques. You will conduct both neuroimaging and neural network modelling studies to determine whether and how combining information across multiple sensory modalities (vision and touch) may
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simulations with deep learning neural networks and swarm robots, virtual reality experiments, animal communication research, and more. In a range of projects, we show that languages can effectively be seen as
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from how organisms age or how our DNA is repaired, to how epigenetics regulates cellular identity or neural memory. Activities and responsibilities The research group of Christof Niehrs offers