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City São Paulo Website http://www.fapesp.br/oportunidades/ Street R. Pio XI, 1500 - Alto da Lapa Postal Code 05468-901 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E
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, Universidade de São Paulo (FAU-USP)CountryBrazilState/ProvinceSão PauloCitySão PauloGeofield Contact State/Province São Paulo City São Paulo Website http://www.fapesp.br/oportunidades/ Street R. Pio XI, 1500
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epidemiology and prevention. Proficiency in statistical analysis software such as Stata, R, or SAS. Strong interpersonal and communication skills, with the ability to collaborate effectively in a team
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to emerging or re-emerging diseases. Proficiency in programming languages such as Python, R, SQL, or similar tools for data analysis and model development. Experience in working with large and complex datasets
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software such as Stata, R, or SAS. Strong interpersonal and communication skills, with the ability to collaborate effectively in a team environment. Demonstrated commitment to advancing mental health
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, 2005 New R package to easily reconstruct the history of pathogen circulation from age-stratified data. Hoze et al, PLoS Comp Biol, 2025 Using models to evaluate the impact of new antiviral nirsevimab
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facility), result analysis (R-studio, with the help of the Bioinformat'IC facility), functional studies by cell culture, Aurora spectral cytometry, MSD analyte dosage, immunofluorescence, and modulating
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• Skills in geomatics and spatial modeling • Proficiency in R and QGIS, in using and developing scripts in Multi-Agent Systems (Matsim, Gama, Netlogo, etc.) • Skills in script development using R and/or
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statistical and geospatial analyses (e.g., using ArcGIS, SPSS, Stata, Python, R). Conduct cross-city comparative research Map and analyse the geographical distribution of eviction patterns within and across
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language such as Python, MATLAB, R or NCL. Proven ability to work both independently and as part of a team. Experience of disseminating findings through scientific publications and conference presentations