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machine learning algorithms to support the traceability of the beef’s geographical origin. She/he will participate in all stages of the project, including planning and supervision of sample collection and
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in tropical regions; analyze links between macrofauna and soil carbon; build/validate scoring algorithms using machine learning/cumulative functions. Outputs – Lead scientific, technical, and policy
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São Carlos.” Mandatory requirements - PhD in Computer Science; - Experience in developing architectures for data interoperability and integration; - Experience in developing data platforms
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, and machine learning; and the development of ecological indicators for environmental monitoring in the Campos and Santos Basins, Brazil. Mandatory requirements Applications from people with training in
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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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new molecular targets, GPCR-like receptors, cellular signaling, and the development of new therapeutic strategies against Plasmodium falciparum. Mandatory requirements: Knowledge and experience with
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TEM/STEM experiments using nanometer-sized electron beams. Development of correlative protocols for ePDF and fluctuation microscopy (FM) data acquisition and analysis, focusing on middle-range order
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Brazilian cities, focusing on the urban planning, regulatory, and operational instruments adopted. Activities will include bibliographic and documentary research, the development and analysis of a comparative
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advanced correlative microscopy techniques, combining coherent X-ray diffraction imaging (CXDI) and STED super-resolution microscopy. The researcher will: • Develop new multimodal imaging strategies; • Work
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position within a Research Infrastructure? No Offer Description Activities The post-doctoral fellow assigned to the “Real Estate Markets in Favelas” project will develop new theoretical approaches to explain