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partnership with the universities in Flanders. The ICT department at VIB ensures that assets, technology, information, and data are managed securely and efficiently. Our focus includes: Supporting and improving
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shape immune-cell states and predict how the immune system responds to interventions. This tight integration of experimental immunology with data-driven experiments allows us to tackle fundamental
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partnership with the universities in Flanders. The ICT department at VIB ensures that assets, technology, information, and data are managed securely and efficiently. Our focus includes: Supporting and improving
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gained to improve the sustainability of agriculture and the climate change resilience of crops. We are currently looking for an expert in Computer Vision, Image Analysis and AI to join our team. In
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collaboration with our wet-lab team and collaborators, you identify and integrate validation data In collaboration with the VIB.AI ML unit, you manage a large codebase containing the harness, interpretation
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screening pipeline, from stem-cell engineering to data analysis Develop and test improvements in single-cell methods and vector design Apply the technology in steady-state and disease settings Analyse
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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procedures, you will also operate robotic devices, such as automated liquid dispensers, robotic arms… You summarize analyses and interpret data in order to draw conclusions from it You will follow general lab
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in close partnership with the universities in Flanders. The ICT department at VIB ensures that assets, technology, information, and data are managed securely and efficiently. Our focus includes
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, multimodal integration of literature and biological data, and knowledge extraction to support discovery.Collaborate with researchers to identify opportunities where generative AI can accelerate scientific