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- FAPESP - São Paulo Research Foundation
- Faculdade de Medicina da Universidade de São Paulo
- CNPEM/LNLS
- Engineering Research Center Plant Health in Sugar Cane
- Institute for Advanced Studies, University of São Paulo, São Paulo / FAPESP (BIOTA SYNTHESIS – Nucleus of Analysis and Synthesis of Nature-Based Solutions)
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demonstrates qualifications; demonstrate publications in the last 5 years in the area; experience in the subject through publications of scientific articles and the PhD thesis; skill in collecting lithological
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requirements of FAPESP (São Paulo Research Foundation, grantor institution): https://fapesp.br/en/postdoc ; - PhD in Agricultural Engineering, Agronomy, or correlated areas; - Excellent English language
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by the São Paulo Research Foundation (FAPESP) and coordinated by the Institute of Food Technology (ITAL) linked to the São Paulo State Department of Agriculture and Supply in Brazil. Requirements: PhD
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the data to raise hypotheses to explain the transition from marine to freshwater habitats. Candidates must have a PhD in Biological Sciences or related areas, completed less than seven years ago. It is a
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statistical analysis software, and experience in handling and analyzing complex databases, as well as writing scientific articles in English, are essential. Experience in dietary intake assessment and cohort
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applied to the field of health policies and systems, with an emphasis on the analysis of innovative strategies, tools and arrangements that strengthen information governance. To this end, mixed-methods
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research contingency fund, equivalent to 10% of the annual value of the fellowship which should be spent on items directly related to the research activity. Both Brazilian and foreign PhD holders
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position within a Research Infrastructure? No Offer Description A PhD is sought with expertise in hydrological models, particularly in the use and application of the SWAT – Soil and Water Assessment Tool
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modeling of neurobiological data. 2. Development of new statistical methods for neurobiological data. 3. Acquisition, processing, and quantitative analysis of neurobiological data. 4. Instrumentation
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reliable predictors of steroid excess or deficiency, thus addressing critical gaps in currently available diagnostic methods. Simultaneously, biocompatible microneedle platforms will be developed using 3D