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learning-based segmentation, multimodal image fusion, and radiomic feature extraction to construct clinically relevant prognostic models. Conducted at the Heart Institute (InCor) of Hospital das Clínicas
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enclosed: - A CV, with links to Google Scholar Research ID, or ORCID profiles; - A letter describing the reasons for the interest in this position; - The names of two persons who are knowledgeable about the
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; - Proven experience in molecular biology techniques, clinical pathology, and translational research with human samples; - Basic knowledge or high motivation to work in bioinformatics and omics data analysis
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. Knowledge in statistical modeling, data science, exploratory analysis, and natural language processing applied to legal texts and empirical legal studies is highly desirable. Candidates must have excellent
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knowledge and advanced transfer learning techniques. The methodology incorporates fundamental radar wave propagation equations into the diffusion process, allowing for more accurate and physically consistent
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these images. This project proposes an innovative approach that combines state-of-the-art diffusion models with physical radar knowledge and advanced transfer learning techniques. The methodology incorporates
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in engineering or a field related to the project; • Knowledge and proven expertise in computational optimization methods and discrete-event simulation, with experience in regular service design
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background in petroleum engineering, geology, geophysics, or related fields. Knowledge of reservoir engineering (especially numerical simulation) and programming skills is preferred. The objective
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at the University of São Paulo's Museum of Zoology (MZUSP) in Brazil, strengthening of the taxonomic framework of the family in the Neotropical Region, and knowledge advancement of Brazilian biodiversity, while also
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collaboration; therefore, advanced proficiency in English is required, and good knowledge of Spanish will be considered a plus. The fellow will be based at the University of São Paulo's School of Pharmaceutical