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Recherche Scientifique (CNRS). The fellow will work on the project's “Decarbonization” pillar, with a focus on the analysis of the spatio-temporal dynamics of peri-urban forests, using LiDAR remote sensing
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position within a Research Infrastructure? No Offer Description Activities and context The position is for a 10-month term and is linked to the “Brazilian Institute of Data Science – BI0S” project (https
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: relevant experience may be evidenced through publications, applications and systems developed, and the research topic of the candidate’s Master’s or PhD project (1 PDF file). Apply via the form: https
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, addressing the skyrmion Hall effect and the development of racetracks for spintronic applications. Activities include atomistic simulations of skyrmions, bimerons and skyrmioniums, studying their stability and
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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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, 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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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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clinical research projects. Desirable requirements: Familiarity with app development and implementation. Ability to work effectively as part of a multidisciplinary team. Availability to work 40 hours per