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with a PhD in Biology, Ecology, Geosciences, Earth System Science, Environmental Sciences, or related fields and proven experience in computational modeling of vegetation to conduct research
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an ethnographic approach and actively collaborate with social movements and IEE-USP, strengthening existing connections. Requirements: PhD completed; fluency in English; experience with qualitative methods
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Claro and travel to Cavalcante (fieldwork); • Consistent scientific output; • PhD completed within the last 7 years. Interested candidates should complete the Google form (https://forms.gle
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learning and community engagement in conservation. Requirements: PhD completed; fluency in English; experience with qualitative methods; experience with and availability for fieldwork, in accordance with
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involve developing an approach that uses Knowledge Organization (KO) metadata and ontologies to optimize parallel processing and scheduling policies (via Kubernetes) for Machine Learning tasks. The fellow
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Resources, Geography, or related fields. Experience in processing and analyzing LiDAR data using open-source scientific programming languages (R or Python). Desirable requirements: International publications
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. This study focuses on the features related to the transformation from gas to particle, the gas clustering processes, and condensation growing up to coagulation and scavenging, as well as on the aerosol and
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to staff position within a Research Infrastructure? No Offer Description The Laboratory for High-Pressure Technology and Natural Products (LTAPPN/ZEA) and the Equine Clinical Practice, Surgery and
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develop the enrollment numbers to our BBA program across Brazil and the Southern-Cone. You will be required to coach and mentor the team, provide benchmarks and goals and to ensure processes are followed
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identifying systemic events in the Brazilian Interconnected Power System (SIN). In addition, the project proposes the development of a processing and graphical visualization platform based on Grafana, enabling