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of discovery and translation within a well-resourced and internationally connected research environment. The PI is a Scholar of the FENS-Kavli Network of Excellence, and the lab is embedded in the Novo Nordisk
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(linking phenotypes, imaging, cytometry, or other readouts to transcriptomics) Statistics / machine learning for biological inference (model validation, differential state testing, embeddings/classifiers
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partners, and with the GPAW development team. The positions are embedded in an active computational chemistry research environment with access to national and European high-performance computing
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. Embedded within the ACE-Forest Centre of Excellence, all researchers have great potential for building networks and conducting collaborative research. The position will be filled for a fixed term of two