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closely related field, with a strong interest in biological systems are particularly encouraged to apply. We seek candidates with expertise in some of the following areas: molecular dynamics, Monte Carlo
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. The project is spread across four universities – University of São Paulo (USP), State University of Campinas (UNICAMP), Federal University of São Carlos (UFSCar), Federal University of the ABC (UFABC). The main
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. The project is spread across four universities – University of São Paulo (USP), State University of Campinas (UNICAMP), Federal University of São Carlos (UFSCar), Federal University of the ABC (UFABC). The main
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, instrumentation, signal processing, biomedical optics, wearables, light-tissue interaction, statistical analysis, design of optical systems, Monte Carlo modeling. Preferred Qualifications Education: No additional
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, geometric modelling, acoustic signal propagation, Monte Carlo simulation methods, decision theory, uncertainty quantification, machine learning. Applications and areas of key innovation Image analysis
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Scientific subarea: Electrical engineering Grant duration: 12 months, starting on 2025-10-14 , with the possibility of being renewed until the end of the project. Scientific advisor: Carlos Moreira Workplace
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without incurring prohibitive computational costs. Unlike standard sequential sampling methods, the project will explore batch-based active learning, prioritizing diversity and informativeness in data
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of offers available4Company/InstituteLA FUNDACIÓN DEL SECTOR PÚBLICO ESTATAL CENTRO NACIONAL DE INVESTIGACIONES ONCOLÓGICAS CARLOS III F.S.P. CNIOCountrySpainState/ProvinceMadridCityMadridPostal
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experiments, including setup of detectors, electronics, and data acquisition systems. Experience analyzing complex experimental and Monte-Carlo simulated data to optimize the analysis of raw detector data in
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, sensing techniques, optimisation theory and algorithms, multi-modal data processing, high-performance computing, mathematical image analysis, geometric modelling, acoustic signal propagation, Monte Carlo