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Field
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health. Predictive Modeling Skills: Ability to develop predictive models and simulation tools to assess the impact of urban interventions on health. Smart City Experience: Experience in developing smart
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engineering, computer science applied to urban infrastructure, data science, or a related field. Expertise in numerical modeling and simulation for urban systems. Proficiency in digital twin tools and platforms
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on estimated movements using eDCCs. The research will focus on data simulated using the Monte Carlo method and real data from clinical SPECT scanners with a parallel collimator, such as those available at LUMEN
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ingredients for Earth-like magnetic fields on millennial time scales in dynamo models. The research activities are two-fold. First, the candidate will run numerical dynamo simulations with various combinations
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learning “emulators” of multiple ice sheet and glacier models, based on large ensembles of simulations extending to 2300. The simulations will be from two international projects aiming to inform
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to propose an electronic wave packet that significantly increases the quantum yield of the photo-conversion reaction. - simulation of the quantum dynamics of the photochemical reaction induced
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diseases, based at the Butantan Institute in São Paulo city, Brazil, and supported by the São Paulo Research Foundation (FAPESP) through its Engineering Research Centers (ERCs) program in partnership with
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biology, especially with neurons. Interested parties should send an email to centd.vagas@butantan.gov.br, with the following documents: 1) letter of interest; 2) curriculum vitae; 3) copy of the doctoral
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astrophysical free boundaries. Responsibilities include running high-resolution GPU-accelerated simulations on exascale computing systems, developing and applying geometric measure theory tools to quantify
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biology, especially with neurons. Interested parties should send an email to centd.vagas@butantan.gov.br, with the following documents: 1) letter of interest; 2) curriculum vitae; 3) copy of the doctoral