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of Professor Sara Maria Pinho Ferreira. Grant duration: Initial duration of 6 months, with the predicted starting date in May 2026, on an exclusive basis eventually renewable but never exceeding the project
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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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with industrial application using sensor systems, systematized software production and scientific production and writing, designing, building and testing laboratory prototypes for predictive maintenance
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the predicted starting date in April 2026, on an exclusive basis, eventually renewable but never exceeding the project duration. If it is not possible to ensure the duration of 6 months estimated in the previous
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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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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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the scientific supervision of Professor Vera Maria Ferreira da Cruz Homem and Doctor Nuno Miguel Ratola Neto. Grant duration: Initial duration of 6 months, with the predicted starting date in March 2026
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of Engineering of the University of Porto (FEUP), under the scientific supervision of Dr Laura Campo Deaño. Grant duration: Initial duration of 12 months, with the predicted starting date in February 2026
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
control theory (e.g., model predictive control, fuzzy control, etc.) # Excellent teamwork and communication skills in an interdisciplinary and international research environment # Motivation and self
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, used in condensed matter systems and string theory. Studying the various ways of materialising these models will make it possible to predict the trajectories of the ST in the Anthropocene and to design