Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Algorithms for Agro-industrial, Health, and Environmental Sustainability, within the FAPESP Center for Research and Innovation on Smart and Quantum Materials (CRISQuaM). The project aim to develop quantum
-
, and analysis by using concepts and methods from machine learning, including pattern recognition, graphs, and complex networks. ** Specific Research Areas: * Develop concepts and algorithms to analyze
-
(“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
-
. Fields of knowledge: Techniques for model selection, evaluation, and comparison of methods; Algorithms for regression (e.g., linear, Bayesian, regularization kernels); Algorithms for classification (e.g
-
will be analyzed to detect and segment structures such as pores, fractures, and vugs, with novel algorithms developed to evaluate their geometric properties, including size, shape, and orientation
-
(“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
-
-curricular-summary ). After analyzing the applications, candidates will be selected for interviews, which will be scheduled. The fellowship will begin in February 2026. More information about the fellowship is
-
are scheduled to begin in February 2026. Interested candidates should send, a Biosketch (FAPESP template), a link to their Lattes CV (Brazilian candidates), a copy of their PhD thesis, 2 letters of recommendation
-
English, explaining the interest in the vacancy; - Recommendation letter from a previous supervisor; - Copy of diplomas/degree certificate(s). An interview will be scheduled after reviewing the applicant's
-
background. Curriculum Vitae (Lattes or equivalent). Application period: August 26 – September 9, 2025. Selection process: Evaluation of motivation letter and CV; interviews may be scheduled. Results