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; - No employment contract, or proof of full unpaid leave, in accordance with FAPESP regulations . Desired Skills: - Proficiency in R, Python, and JavaScript (Google Earth Engine); - Geoprocessing and GIS
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cropping systems, conducting laboratory-based bioassays and familiarity using GIS are all highly desirable. Supervision Exercised Individual will be required to assist supervising temporary research
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), or Remote sensing and GIS We welcome innovative research ideas beyond these examples, provided they align with the broader themes of ecosystem processes and disturbance ecology. The anticipated project
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the human GI tract. Experimental work may include the cultivation and phenotypic characterization of bacterial strains, or molecular studies involving expression, purification, and characterization
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interventions. •Integration of spatial (GIS) and socioeconomic data with urban transformation indicators (iBESTI). •Writing of scientific articles in high-impact international journals and participation in
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automating geospatial workflows. Proficiency with GIS tools (e.g., QGIS, ArcGIS) for spatial analysis and visualization. Experience developing statistical or machine learning models to estimate fuel moisture
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project and specifically on developing a GIS-based decision support system for 15-min city and micromobilityanalysis for several European cities. Weexpect a motivatedearlycareer researcher with
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data collection and analysis. Proficiency in at least one of the following BI tools: Tableau or PowerBI. Proficiency in at least one of the GIS tools: ArcGIS or QGIS. Proficiency in at least one of the
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socioeconomic and environmental data. • Development and application of indicators to measure social and environmental justice in 15-minute city scenarios. • Integration of spatial data (GIS) and sources
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FieldEnvironmental scienceYears of Research ExperienceNone Additional Information Eligibility criteria PhD Thesis in population ecology Skills in data analysis, GIS data and database management Skills in writing