281 evolution "https:" "https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" Fellowship positions in Portugal
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method applied; b) Based on the score of their academic qualifications. VII.VIII - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt
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qualifications. VII.VIII - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX - Jury Composition: President: Fernando Jorge Penousal
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Development Fund (ERDF) through the Regional Programme (CENTRO 2030) of Portugal 2030; reference of operation 14443, operation code CENTRO2030-FEDER-00585600 on Balcão dos Fundos. [LM5.1] VI.IV - Information
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at: bolseiros – sgrh – Universidade de Aveiro (ua.pt). ¹ Note: Confirm the type of financial support of the Project at [https://financeiros.ua.pt ](https://financeiros.ua.pt ) in the funding acceptance term
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of the grant: André Manuel dos Santos Mendes IV - Work Plan / Goals to be achieved: Research and project activities will be carried out in the field of Power Electronics, focusing on the development
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Development Projects in All Scientific Domains – IC&DT2023 program, under the following conditions: Scientific Area: Mechanical and Industrial Engineering Recipient category: Students enrolled in, Degree
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fields, with a minimum final average grade of 16/20; b) Research experience in the field of molecular evolution and phylogenetics, and in the use of bioinformatics analysis tools, particularly for high
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Sustainability and Innovation, with emphasis on the development of nature-based coastal defence solutions inspired by natural shoreline stabilization processes. Applicable legislation and regulations: Research
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, of August 28, available at: https://www.fct.pt/apoios/bolsas/estatutobolseiro.phtml.pt . Regulation of scientific research grants of the Foundation for Science and Technology, I.P., (FCT, IP) in effect
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Engineering, Bioengineering, and related fields. 4. Other Requirements: Experience in the use of artificial intelligence tools, computational modeling, and advanced imaging for the development of biomaterials