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About the lab The Laboratory of Causal Systems Immunology combines large-scale in vivo perturbation experiments, advanced mouse models of immune diseases and causal learning to uncover how genes shape immune-cell states and predict how the immune system responds to interventions. This tight...
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position The lab is looking for a postdoc to further develop agentic pipelines that autonomously manage computational tasks: You oversee dozens of computational biology tasks across biological disciplines
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analysis pipelines and making them accessible for non-expert users in the Center integrating agentic AI where useful in data analysis workflows contributing to scientific publications on computer vision
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applications for scientific or biomedical research, including LLM-based and agentic AI systems, is a plus.Ability to work collaboratively across disciplines and communicate effectively with researchers from
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applications for scientific or biomedical research, including LLM-based and agentic AI systems, is a plus. Ability to work collaboratively across disciplines and communicate effectively with researchers from
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the plant scientists and computational biologists at PSB, you will develop AI methodology to streamline data acquisition and analysis workflows in the Center, and the integration of agentic AI therein. Your
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disease mechanisms. Build and maintain components of VIB's institutional intelligence layer, including agentic bioinformatics workflows, retrieval-augmented generation (RAG) systems, and AI-assisted
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disease mechanisms. Build and maintain components of VIB's institutional intelligence layer, including agentic bioinformatics workflows, retrieval-augmented generation (RAG) systems, and AI-assisted
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of neurodegeneration, totaling to over 1,500 human brain samples. Using an array of -omics techniques, e.g. long read DNA sequencing, single nuclei transcriptomics & ATACseq and multi-modal proteomics, the team aims
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learning with mechanistic models; foundation models of genome regulation using single-cell and spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based