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: Experience with georeferencing and geoprocessing tools applied to urban studies, including the organization, processing, analysis, and spatial representation of data. Strong academic track record, with
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transmission electron microscopy (TEM/STEM) and/or advanced image-processing techniques; proficiency in programming and in the application and development of software and computational tools for scientific data
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for analytical processing, such as data lakes, data warehouses, and lakehouses. Desirable requirements - Experience in developing and implementing data platforms; - Knowledge of data engineering tools and
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mixtures, a capability that is indispensable to the development of the project as a whole. The researcher will also contribute to the numerical robustness and convergence of the simulation tool, as
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week. Proficiency in the use of artificial intelligence (AI) tools for research and academic activities. How to apply: Please submit your CV bio sketch, a letter of interest, and the names and contact
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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
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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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; and spatialization tools. “Technical Networks and the Digitalization of Territory in Favelas” Project – Knowledge of Network and Flow Analysis, Territorial Planning, Human and Economic Geography
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and/or Python. Experience with widely used bioinformatics tools and frameworks (e.g., Seurat, Scanpy, SCENIC/SCENIC+, GENIE3). Demonstrated publication record in peer-reviewed journals. Excellent