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related to the use of LiDAR data in forest applications, as well as experience with deep learning methods, will be considered an advantage. How to apply: Send CV, statement of interest, and the names of two
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, including the use of resources such as audio description, tactile materials, and assistive technologies. Mandatory requirements: Applicants must have completed their PhD within the last seven years and be
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position within a Research Infrastructure? No Offer Description Activities: This research investigates the use of artificial intelligence in developing data visualization systems for born-digital collections
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position within a Research Infrastructure? No Offer Description The project involves the use of models for the hydrological and environmental analysis of watersheds, as well as for assessing the impacts
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(with email and/or phone). Use the subject line: “PostDoc Remote Sensing”. Applications should be sent to edson.bolfe@embrapa.br by April 30, 2026. Where to apply Website http://www.fapesp.br
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conditions. Work Plan Description Objectives: The main objective of this research project is to use real 2D data to optimize the workflow of FWI inversion algorithms. Methodology: 2D seismic data will be used
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) for seismic data prediction. The use of neural networks to predict seismic velocity models has shown increasingly accurate and efficient results. The proposed technique will incorporate region-specific
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-USP) as part of the project “Therapeutic use of human milk for at-risk newborns and immunocompromised patients,” coordinated by researchers Magda M. S. Carneiro-Sampaio (FM-USP) and Patricia Palmeira
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)CountryBrazilState/ProvinceSão PauloCitySão PauloPostal Code05508-090StreetRua do Matão, 1371Geofield Contact State/Province São Paulo City São Paulo Website http://www.fapesp.br/oportunidades/ Street R. Pio XI, 1500
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$ 12,570.00/month) and a Technical Reserve corresponding to 10% of the annual fellowship amount to be spent exclusively on research-related expenses. To apply, please follow the instructions at http