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involving large companies under the “Autonomous Systems, Robotics, and Machine Tools” track of the IASMIN Platform (a FAPESP Applied Research Center in AI). The work is to be carried out on-site
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programming languages such as R and/or Python; • Experience with widely used bioinformatics tools and frameworks (e.g., Seurat, Scanpy, SCENIC/SCENIC+, GENIE3); • Demonstrated publication record in peer
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networks, from a machine learning and information theory perspective. This basic research project has strong translational potential and aims to elucidate how immune function is altered during sepsis, with
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with agronomic traits, with an emphasis on resistance to fungal diseases in grapevine, aiming to develop biotechnological tools and enhance disease resistance. The candidate should have knowledge and