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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
Workplan: The research work aims to develop a dynamic electricity demand growth model applicable to rural electrification planning, making use of advanced satellite imagery and including case studies in
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the scope of the project ‘Organ-on-Chip technology to decode the systemic effects of obesity’ (Ref. NORTE2030-FEDER-02709200), co-financed by the European Union, through the European Regional Development Fund
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*; Willingness to develop the thesis project in the context of the TRANSFOrm project - Back to the future: Traditional agroforestry systems as NbS to address multiple societal challenges, under the guidance
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identification elements)*; Experience in developing multi-agents with LLM. * mandatory requirement Work plan: The candidate will carry out R&D activities within the scope of the operation A-MoVeR - Agenda
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enrolled in a non-academic degree course integrated in the educational project of a higher education institution, developed in association or cooperation with one or more R&D units, requirement to be duly
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IN A MASTER’s Degree, Within the scope of the research line “Habitar” currently being developed at the Faculty of Architecture of the University of Porto The Faculty of Architecture of the University
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Development (CIDESD: UID/04045), funded by national funds through the budget of the Fundação para a Ciência e a Tecnologia (FCT), to be carried out at the Research Centre in Sports Sciences, Health and Human
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higher education course leading or not to an academic degree. Work plan: The MOBVEC project under the Pathfinderopen program of the European Innovation Council (CEI) proposes the development of the first
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Institutions). Work place: The work will be developed in the Department of Chemistry and Biochemistry, Faculty of Sciences of the University of Porto (FCUP), under the guidance of Prof. Victor de Freitas, Prof
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, optimization, and calibration of sensors for use at the agricultural farm level. Collaborate in the acquisition, processing, and analysis of Big Data. Assist researchers in the development and testing