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an intelligent and predictive monitoring system for telecommunications tower infrastructures. The proposed solution will use information collected through specific sensors installed on the infrastructures, which
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, economical, environmental and social assessments; develop new H2 services and port business models; development of the decision support tool to facilitate selection of H2 technologies. Furthermore
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: This project investigates how variation in social behavior shapes cognitive and brain evolution. Teleost fish are an ideal model due to their exceptional diversity of social phenotypes. We will compare brain
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oxide ores of varying quality and mineral associations. Research will focus on process design and analysis with a strong emphasis on ore characterization. At a later stage, predictive models for size
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enablers for predicting and reasoning about dynamics and transport patterns, in turn being of key importance for a broad range of human activities. The research in the PhD project will focus on core spatio
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, or predictive modelling. • Experience working with secure research environments (e.g., TREs, data enclaves). Applicants should send the following documents during the application: a. Cover letter highlighting
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. We will prioritize hits with suitable predicted drug metabolism and pharmacokinetic properties for optimization using organic synthesis. Finally, you will validate specificity using biophysical methods
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, case-control studies, cohort studies, structural equation modeling, geospatial modeling, missing data, population-level risk prediction, and measurement errors Community-based research, health
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supervision of Professor Luísa Maria Hora de Carvalho. Grant duration: Initial duration of 3 months, with the predicted starting date in March 2026, on an exclusive basis eventually renewable but never
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. Tânia Filomena Castro Valente Silva and Professor Doctor Helena Isabel Sousa Passos. Grant duration: Initial duration of 06 months, with the predicted starting date in July 2026, on an exclusive basis