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) perform in-silico interventions (e.g., gene knock-outs) that create testable hypotheses that will guide future wet-lab experiments. Your mission Lead the development of mechanistic machine learning models
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collaborative, hybrid settings, including direct interaction with wet-lab scientists, technicians, and experimental facilities to co-design and support integrated, computationally guided experiments (e.g., CRISPR
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science, scalable data analysis, and next-generation experimental workflows that link data acquisition, analysis, and interpretation. We are seeking an ambitious Postdoc to join us in shaping how AI-enabled
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post-natal cIN development Comfort working with mouse models and brain tissue (e.g., dissection, viral delivery, histology) Mouse surgery experience, especially surgeries involving embryonic mice, mouse
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, and biological interpretability. Practical experience in collaborative, hybrid settings, including direct interaction with wet-lab scientists, technicians, and experimental facilities to co-design and
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of molecular phenotypes, Mendelian Randomization, co-localisation); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and
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Research Center of High-level Biosafety and Public Experimental Platform Center, we have established six main research centers focusing on viral vaccines, bacterial vaccines, genetically engineered vaccines