275 structures-"https:" "https:" "https:" "https:" "https:" "Ruhr Universität Bochum" Fellowship positions in Portugal
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Number AE2026-0089 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0089.pdf CALL FOR GRANT
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the launching of a call for awarding a research fellowship (RF) in the scope of the research program FightRn – Solutions for radon mitigation in buildings through protective barriers for construction materials
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and digital transformation of the industrial sector across the Andalucía–Algarve–Alentejo Euroregion. It addresses key structural challenges such as low innovation capacity, limited access to advanced
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in public administration, as well as a scientific capacity-building programme’, within the framework of the funding agreement established between the Recuperar Portugal Mission Structure (EMRP) and the
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2030), taking place at the RISE-Health, Faculdade de Ciências da Saúde, of the University of Beira Interior (https://www.ubi.pt/Sites/fcsaude/pt/Pagina/investigacao ), under the following conditions
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epithelial tissues”, “2024.15260.PEX”, ”DOI: https://doi.org/10.54499/2024.15260.PEX ”, funded by the Fundação para a Ciência e a Tecnologia, I.P.&/MECI through national funds under the programme Call
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LEGISLATION Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its current wording. https://www.fct.pt/wp-content/uploads/2026/01/RBi_Republicado_2025.pdf Regulations for Research Grants
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scheduling tools Support integration of solutions into digital platforms BINDING LEGISLATION Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its current wording. https://www.fct.pt/wp
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selection will be based on a combined score, weighted as follows: 50% curriculum evaluation and 50% interview. Additional comments Draft_ scholarship_contract: https://www.fcsh.unl.pt/static/documentos
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fair access to opportunities (employment, healthcare services, education) and mitigating spatial inequalities; - develop (deep) learning models for spatial structures and dynamic graphs to support the