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international translational research network and provides access to state-of-the-art imaging, genomics, metabolomics, and computational platforms. The fellowship offers exceptional training at the interface
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information The position offers substantial opportunities for professional development, including access to pedagogical training, career-development support, and an active international network
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advanced light microscopy data. The lab’s research scope ranges from reinforcement learning for drug design, interpretable ML pipelines for cancer research and diagnosis as well as graph neural networks
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LCA software (SimaPro, OpenLCA, Brightway). Skills in R or Python for data processing and analysis. Experience with soil or biodiversity monitoring methods. Experience using GIS (QGIS, ArcGIS