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and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with
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and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with
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related field. Demonstrated expertise in multi-omics integration and large-scale data analysis. Strong programming skills (e.g., R, Python, workflow systems). Proven publication record in peer-reviewed
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integrity and scientific rigour. Fluency in written and spoken English. In vitro skills Hands-on experience with iPSC derivation, QC, maintenance and differentiation. Experience with 3D and co
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integrity and scientific rigour. Fluency in written and spoken English. In vitro skills Hands-on experience with iPSC derivation, QC, maintenance and differentiation. Experience with 3D and co
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. Collaboration with and supervision of bioinformatics Master’s and PhD students will support the integration of circuit and behavioral data with transcriptomic and proteomic datasets generated within the project