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one Postdoctoral position in a project focused on genetics and cell biology applied to Duchenne Muscular Dystrophy (DMD) and aging, using induced pluripotent stem cells (iPSCs). The project aims
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genetics and cell biology applied to Duchenne Muscular Dystrophy (DMD) and aging, using induced pluripotent stem cells (iPSCs). The project aims to elucidate cellular and molecular mechanisms underlying DMD
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) Mechanistic understanding of ncRNAs in host-parasite interactions and parasite metastasis. Candidates must hold a PhD in Molecular Biology, Cell Biology, Genetics, or Biochemistry and must have prior knowledge
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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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Fishes” (Grant nº 2024/03891-8), starting in 2026. Requirements: -Ph.D. degree obtained no more than 7 years ago in Animal Genetics or related fields; -Proficiency in bioinformatics tools, such as Linux
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training. Experience must be demonstrated in zebrafish handling, maintenance, and genetic editing (CRISPR/Cas9), flow cytometry, cell sorting, and in vivo imaging, as well as in molecular cloning, qPCR, and