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with a consistent history of scientific publications and advanced theoretical and practical knowledge in geospatial modeling (PD#1) and remote sensing (PD#2), to create and analyze scenarios and models
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, reading, and writing; 7. Ability to work in a multidisciplinary team; 8. Knowledge of statistics will be considered an advantage. Application Send an email to valdeir.arantes@usp.br , with the subject “PD
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knowledge of agriculture, logistics, and geoprocessing (GIS and geographic databases). Additional desirable skills: - Previous experience with research topics: Geoprocessing, database, process automation
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development associated with brain stimuli. Candidates must have a strong background in probability theory with emphasis on stochastic processes (Area 1); statistics and data analysis and knowledge of computer
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Paulo Research Foundation (FAPESP) and hosted by IAG-USP. Requirements: Ph.D. in Meteorology or related fields, knowledge of climatology and climate forecasting, experience in programming languages and
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the University of São Paulo's Ribeirão Preto Medical School (FMRP-USP) in Brazil. Candidates must hold a Ph.D. in Molecular Biology, Cell Biology, or Biochemistry. Prior knowledge in DNA metabolism and trypanosome
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include supporting the dissemination of knowledge and research findings, organizing and participating in meetings, seminars, and center events, and collaborating with other researchers. This opportunity is
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Skills: Strong track record in publishing high-quality scientific articles in peer-reviewed journals; • Domain Knowledge: Deep understanding of quantum computing and/or quantum optimal control theory
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educational functions; 3. Special interest in group work on school curricula at various levels and stages, with an emphasis on Basic Education and Teacher Training; 4. Knowledge and practice of technological
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knowledge of English and communication skills are necessary for interaction with a dynamic and multinational analysis team. It is also required to have one or more publications in the area. The ATLAS group in