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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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within the framework of project AEMWEtoGreenH2– Reshaping Green Hydrogen Production: Development of Anion Exchange Membrane Water Electrolysis, with number 16606 and operation code at the Funds Platform
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Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and by other applicable national and
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: Curriculum Vitae, copy of certificate of qualifications, motivation letter and other supporting documents considered relevant to the evaluation of significant skills to execute the work plan. Exceptionally, in
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of Administrative Procedure (CPA), all in their current wording, and by other applicable national and community legislation. Procedure Reference: IT137-25-472 I - Legal admission requirements I.I - Grant Recipients
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numerical models and simulate the reactor's operation to optimize its design and performance. Collaborate in the preparation of the detailed engineering design for the pilot reactor and auxiliary systems (BOP
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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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-based matrices and the statistical treatment of environmental results, as well as in the operation and quantification in GC-MS or LC-MS and FTIR, and assessment of human and environmental exposure
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within the framework of project “CIVITAS - Pontes entre Cidadania e Ciência para a Adaptação Climática em Comunidades da Região Norte”, with operation code at the Funds Platform (Balcão dos Fundos
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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