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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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biomedical sciences.Direct access to VIB’s Data Core services, which provide expert support in data management and high-performance computing, including optimized pipelines and large-scale GPU resources.A
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and optimizing CRISPR/Cas9 delivery methods. You will also assist the maize transformation team when needed and work closely with colleagues in the lab and in our greenhouses facilities located in
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and optimizing CRISPR/Cas9 delivery methods. You will also assist the maize transformation team when needed and work closely with colleagues in the lab and in our greenhouses facilities located in
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biomedical sciences. Direct access to VIB’s Data Core services, which provide expert support in data management and high-performance computing, including optimized pipelines and large-scale GPU resources. A
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management and high-performance computing, including optimized pipelines and large-scale GPU resources. A competitive salary and benefits package, with relocation support if needed. The chance to make a
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and deep learning techniques. About the role Your role will include: analyzing image-based plant phenotyping datasets (RGB, hyperspectral) designing and optimizing data analysis workflows for automated
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discovery project teams, owning strategy, prioritization, and key go/no-go decisions – from hit finding to early lead optimization, towards valorization Drive the integration of computational
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management and high-performance computing, including optimized pipelines and large-scale GPU resources. A competitive salary and benefits package, with relocation support if needed. The chance to make a
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candidate eager to operate at the interface of molecular biology, neuroscience, and AI. Responsibilities Wet-Lab & Experimental Work Set up and optimize imaging based spatial transcriptomics protocols. Set up