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activities within the scope of the T3SH-City project. The methodology to be adopted will follow an interdisciplinary approach, integrating stages of modeling, experimentation and validation, highlighting
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addressed to Doctor Bruno Silva, Project Researcher, to the e-mail brunosilva@ubi.pt , indicating in the subject the reference "T3SH-City_PhD2 - Application". Publication/notification of results: The final
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16 points, the scholarship will not be awarded. Selection Jury: President: Professor Adélio Miguel Magalhães Mendes Effective member: Doctor Tânia Sofia Teixeira Lopes Effective member: Doctor Paula
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) Analysis of standard documentation related to the project of bogies; iii) Bogie modelling and design. Legislation and regulations: Law Nº. 40/2004, of 18th August, in its current wording (Statutes
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, the scholarship will not be awarded. Selection Jury: President: Professor Manuel José Vieira Simões Effective member: Doctor Anabela Portela Borges Effective member: Doctor Ana Cristina Oliveira Afonso
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Innovation in Health, under the scientific supervision of Professor Fernão D. Magalhães and Doctor Artur M. Pinto, and on an exclusive basis. Grant duration: Initial duration of 6 months, with the predicted
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
order to simulate a realistic evolution of demand over time in Sub-Saharan African regions. The main expected results are: • A dynamic electricity demand growth model adaptable to rural
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quality and quantity), WP2 (Safety assessment regarding water reuse) and WP3 (Assessment of BGI efficiency in removing the proxy compounds), from which the results will also be integrated in WP4 (Models
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the University of Porto (FEUP), under the scientific supervision of Doctor Maria José Fernandes Sampaio. Grant duration: Initial duration of 9 months, with the predicted starting date in November2025, on
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
rural areas in Mozambique. The proposed model will integrate socioeconomic, demographic, and spatial variables in order to simulate a realistic evolution of demand over time in Sub-Saharan Africa