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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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alignment with the requirements defined by the European Community in the context of academic credential management, identity and mobility processes. We intend to contribute to the project's objective
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December: https://dre.pt/application/file/a/127230968 , or at the FCT website: https://www.fct.pt/apoios/bolsas/regulamento.phtml.pt ), and FCiências.ID Fellowship Regulation, as approved on 12th May 2020
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Explorations. Amateur Women Contributions to Natural History and Astronomy in Portugal (1851–1974)”, “COMPETE2030-FEDER-00694300; Lisboa2030-FEDER-00694300; 2023.17102.ICDT”, “DOI: https://doi.org/10.54499
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associated with the use of these technologies in civil protection contexts. In the intermediate phase, the fellow will contribute to the specification and progressive development of the solution, supporting
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its current version (Reg. 950/2019 published in DR on 16th December: https://dre.pt/application/file/a/127230968 , or at the FCT website: https://www.fct.pt/apoios/bolsas/regulamento.phtml.pt ), and
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(Reg. 950/2019 published in DR on 16th December: https://dre.pt/application/file/a/127230968 , or at the FCT website: https://www.fct.pt/apoios/bolsas/regulamento.phtml.pt ), and FCiências.ID
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and build collaborative relationships in school contexts. Good writing skills for producing scientific content and research reports. Ability to work independently and collaboratively in
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 6 days ago
(PTDC)", in the context of the Measure/Axis of "Exploratory Research Projects (PEX)", under the following conditions: Scientific Area: Health Sciences Candidate’s category Masters enrolled in a non
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investigate and develop IoT network security mechanisms connected to the cloud in residential environments and intrusion detection methods in the context of embedded systems and IoT devices. The work will