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open to both Brazilian and international candidates. The selected candidate will receive a FAPESP Post-Doctoral Fellowship of R$ 12,570.00 per month, along with Technical Reserve equivalent to 10
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background in machine learning, predictive modeling, or applied AI Proficiency in Python and/or R; experience with libraries like scikit-learn, XGBoost, TensorFlow. -Experience working with real-world datasets
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/paginas/pin/home.seam Requirements Research FieldAllEducation LevelPhD or equivalent Specific Requirements PhD or equivalent Research FieldAll Internal Application form(s) needed Convocatoria R-1267-2025
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Research Foundation (FAPESP); includes a monthly stipend of R$ 12,570.00, plus an annual Technical Reserve equal to 10% of the total annual fellowship amount. Requirements: - PhD degree, awarded in Brazil
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FAPESP Post-Doctoral fellowship in the amount of R$ 12,570.00 monthly and a research contingency fund, equivalent to 10% of the annual value of the fellowship which should be spent on items directly
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, and statistical analysis. Proficiency in data analytics, visualization. Proficiency in at least one of the following programming languages: R or Python. Proficiency in Microsoft Office (including
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and explore the ALU operation up to a 2x2 bits full-adder or equivalent. ------------------------ References 1 - S. Viarbitskaya, A. Teulle, R. Marty, J. Sharma, C. Girard, A. Arbouet, E. Dujardin
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of donor/recipient (D/R) epitope compatibility using two methods. HLA-Epicheck does not allow quantification of structural differences between two epitopes. The first option is to use the descriptors
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, the individual will: 1) Analyze acoustic data with existing software (Echoview, R, Python). 2) Collaborate with USGS scientists on field data collections. 3) Investigate the spatial patterns of fish and
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candidate will receive a FAPESP Post-Doctoral fellowship in the amount of R$ 12,570.00 monthly and a research contingency fund, equivalent to 10% of the annual value of the fellowship which should be spent