Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- FAPESP - São Paulo Research Foundation
- Fundação Universidade Federal do ABC
- Hult
- Institute of Astronomy, Geophysics and Atmospheric Sciences
- University of Campinas
- Hospital de Câncer de Barretos
- Institute of Biomedical Sciences, University of Sao Paulo
- Instituto de Matematica Pura e Aplicada
- Nature Careers
- Ribeirao Preto Medical School-University of Sao Paulo FMRP/USP
- UNESP
- Universidade Estadual Paulista (UNESP)
- University of Sao Paulo
- University of São Paulo
- 4 more »
- « less
-
Field
-
to be developed by the postdoctoral researcher will focus on proposing an innovative approach based on semantic segmentation with deep neural networks for the identification of multiple facies classes in
-
(pscsilva@ipen.br or pscsilva@usp.br ): 1) A letter summarizing your previous achievements in research or development and the reasons for your interest in the project; 2) Link to your CV; 3) A letter of
-
purpose including a proposal for development based on the project (available at: News – https://www.cosmopoliticasdocuidado.net/ ), and a Curricular Summary using the model established by FAPESP (the São
-
(“Autonomous System for Hybrid Hyperspectral-SAR Monitoring in Precision Agriculture”, Supervisor Prof. Hugo Hernández Figueroa, and “Development of Methodology and Robust Operational Algorithms for Hybrid
-
available to develop the project “Endothelial Dysfunction in Hypertensive Disorders of Pregnancy” in Botucatu, São Paulo state (Brazil) supported by the São Paulo Research Foundation (FAPESP 21/12010-7) and
-
: • Bachelor's degree in Economics and/or Social Sciences; • Doctoral dissertation focusing on PNRA Rural Settlements; • Research experience in Public Policy; • Research experience in Technological Development and
-
using methodologies recently developed by our group; and (3) exploring the star–disk interface through LSST light curves, spectroscopic and polarimetric follow-up, and hydrodynamic simulations. Candidates
-
Be stars via AI/ML tools applied to LSST multi-band data; (2) characterizing disk formation and dissipation events using methodologies recently developed by our group; and (3) exploring the star–disk
-
), and Clinical Monitoring Leads (CMLs), which includes both Full-Time Employees (FTEs) and Functional Service Providers (FSPs). The CSO develops and implements region-specific strategies to optimize trial
-
State University (UNESP) in São José dos Campos, Brazil. The researcher will develop innovative methodologies for flood risk analysis, focusing on the integration of multi-source data, including optical