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, GC-MS/MS, and advanced NMR approaches. - **Activity 4:** Multivariate statistics and machine learning to identify microbial and chemical biomarkers of resilience and reveal the interactions linking
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, neurodegeneration, advanced microscopy, stem cell biology, and cell biology. The project will leverage state-of-the-art imaging facilities and established human iPSC-derived models of Alzheimer's disease. The work is
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computational fluid dynamics. • Experience in modeling, uncertainty quantification, or statistical methods. • Experience in data science or machine learning is considered an asset. • Experience with high
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