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the state of São Paulo (Brazil), using Light Detection and Range-LiDAR profiling data covering the entire state. LiDAR technology will enable a detailed analysis of forest structure, while deep learning
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structural changes in the governance of natural resources and their relationships with sustainable development, thereby enhancing adaptation and resilience to climate change. Mandatory requirements: Fluent
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information, enabling the automated generation of datasets containing the structural and stratigraphic characteristics of interest. This approach allows for improved stratigraphic predictions of regional
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to staff position within a Research Infrastructure? No Offer Description The aim of this fellowship is to study the structure and dynamics of the viral factory formed in A. castellanii during the
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of possible faults, folds, and structural and stratigraphic traps favorable for CO2 storage. This approach aims to achieve accurate results even with limited initial conditions (see Asnaashari et al., 2013
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, structured and semi-structured interviews, interdisciplinary work integrating biological and human data, previous engagement with riverside or traditional populations, familiarity with Open Science practices
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efficient results. The proposed technique will incorporate region-specific information, enabling the automated generation of datasets containing the structural and stratigraphic characteristics of interest
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(δ¹³C) with continuous monitoring of microclimatic data (soil and air temperature and humidity) to quantify ecosystem responses to anthropogenic disturbances. The proposal is structured around 3
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governance strategies. The study will combine document analysis, interviews with public managers and international experts, and the construction of a comparative analytical framework covering health policies
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structure, transcription, and processing 10. Regulation of gene expression The official announcement of this call in Portuguese is available at https://uspdigital.usp.br/gr/admissao . Applications must be