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, 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
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(“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
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. 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
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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
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(“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
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(XRD) for structural analysis; • Dynamic light scattering (DLS) for particle size distribution and colloidal stability; • Magnetometry techniques (e.g., VSM, SQUID) for magnetic property evaluation
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integrity, uniform pressure distribution, and efficient thermal management under high-temperature operational conditions (500-1000 °C); 2. Implement and validate an advanced computational framework
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for fitting spectral energy distributions (SED-fitting), to analyze thousands of galaxies within the survey’s coverage area. We seek an astronomer with experience in extragalactic astrophysics to explore
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The project will use the 12-band photometric system of S-PLUS (Southern Photometric Local Universe Survey), combined with techniques for fitting spectral energy distributions (SED-fitting), to analyze thousands