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13 Mar 2024 Job Information Organisation/Company FAPESP - São Paulo Research Foundation Research Field Geosciences Researcher Profile Established Researcher (R3) Country Brazil Application Deadline 30 Mar 2024 - 23:59 (UTC) Type of Contract To be defined Job Status Not Applicable Is the job...
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on Trade: International Relations; Humanities. International Relations; with emphasis on Brazilian Foreign Policy: International Relations; Humanities Requirements Research FieldOtherEducation LevelPhD
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viral infection, especially in human monocyte/macrophage cells, as well as knowledge of immunology and molecular biology tools, biotechnology, such as gene editing by CRISPR or siRNA, data analysis, and
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Human Sciences (geography, political science); Applied Social Sciences (Administration, Public Administration, Urban Planning, Economics); Engineering or related areas; - Advanced level of English
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Education in Brazil regarding the climate emergency and how to draw mobilization to face it. It will be developed by the University of Paulo's School of Communication and Arts (ECA-USP) in Brazil, in
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of the Brazilian Center for Research in Energy and Materials (LNBio/CNPEM) seeks to address the challenge of diabetic skin wounds. Our objective is to establish an in vitro model of diabetic human skin to test
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growth of agricultural production and productivity. The activities include i) Mapping technological development in digital agriculture; ii) Creating a scientific relationship map in digital agriculture
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gap to be filled in the literature. The development of human mAbs by V(D)J sequencing of circulating B cells isolated from people who were exposed to the antigen of interest has been studied by Prof
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cardioprotective mechanisms of SGLT2 inhibitors. Experiments will be carried out in primary cultures of cardiomyocytes exposed to high glucose concentrations and with human cardiomyocytes derived from induced
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). The project’s objective is to study and propose strategies to extract knowledge of the relationship between meta-features of one or more datasets and the algorithmic performance of Machine Learning (ML