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behavior and circuit integration remains poorly understood. In this project, you will develop and apply spatial transcriptomics methods and combine these with measurements of brain activity and cellular
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on computational methods and AI applications for the CCB community. Stay up to date with state‑of‑the‑art methods in computational biology and AI/ML; evaluate, benchmark, and introduce relevant tools and best
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role in membrane remodeling. It also aims to deepen the mechanistic understanding of solute transport in ion channels and transporters of medical relevance. We apply state of the art methods
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to apply a recently published, "proof-of-concept" method for synthetic enhancer design to a critical, real-world clinical challenge. Environment: A stimulating, international research setting in a
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neuroscience and (4) the development of computational models and methods for neuroscience. The goal is to implement advanced brain-on-chip models and CRISPR-based screens and methodologies to generate
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engineering, and have expertise in building camera systems and computer vision. This role also involves working closely with the other members of the team on projects related to plant phenotyping (assessing e.g
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On the longer term, together with other lab technicians from our team, you provide support in method development Profile You possess at the minimum a degree in Biotechnological, Biomedical or Biological Sciences
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) the development of translational strategies in circuit neuroscience and (4) the development of computational models and methods for neuroscience. The goal is to implement advanced brain-on-chip models and CRISPR
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problems. Provide expertise in modern ML methods, including deep learning, foundation models, multimodal data integration, generative AI, and simulation-based inference. Engage with VIB’s AI Studio
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. The multi-omics spatial and single-cell modalities from perturbed and regenerating livers form the ideal data stack to pioneer such methods. Predictions coming from these methods will be directly validated