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this document by the contract signing date; Copy of enrollment proof in eligible non-degree courses, integrated into the educational program of a higher education institution, developed in association
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documents: Motivation letter, Copy of certificates evidencing academic degree (referring the classification of each separated or integrated degree),Curriculum Vitae; Declaration on honor that the candidate
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; Copy of academic degree certificates. a) If the possession of a degree is a requirement for the grant, candidates holding a degree obtained abroad must, by the end of the application period, provide
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to attach when applying: Curriculum Vitae, duly updated, dated, and signed; Copy of academic degree certificates. a) If the possession of a degree is a requirement for the grant, candidates
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. Preferential factors: Research experience; Experience in the fields of energy efficiency, building sustainability, building renovation and building simulation; Experience in applying quantitative methods
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: this call is open from 23/10/2025 to 05/11/2025. The application must include the following documents: CV, motivation letter, copy of academic records/certificates* and proof of enrollment in a MSc program
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Application." https://apply.uc.pt/IT137-25-473 VIII.I- Mandatory documents to attach when applying: - Curriculum Vitae, duly updated, dated, and signed; - Copy of academic degree certificates. a
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-BlueWWater-PILOT-II and including the following pdf documents: Motivation letter, Copy of certificates evidencing academic degree (referring the classification of each separated or integrated degree), detailed
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://doi.org/10.54499/2023.11234.PEX , funded by national funds through FCT/MECI, under the following conditions: Scientific Area: Machine Learning applied in Applied to Fluid Dynamics Simulation Admission
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months 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