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-Law No. 123/2019, of 28 August; Regulation of Research Grants of NOVA.id.FCT – Association for Innovation and Development of FCT; Regulation of Research Grants of the Foundation for Science and
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€ according to the table of values of the grants awarded directly by FCT, I.P. in the Country (https://www.fct.pt/apoios/bolsas/valores ). The payment will be made by bank transfer. Voluntary Social Insurance
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, economical, environmental and social assessments; develop new H2 services and port business models; development of the decision support tool to facilitate selection of H2 technologies. Furthermore
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meetings, network creation events and Case Competition events. Applicable legislation and regulations: Statute of the Scientific Research Fellow: https://dre.pt/web/guest/legislacao-consolidada/-/lc/58216179
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the Sustainability of Raw Materials Industry” with the reference ERA-MIN3/0002/2023 with e DOI 10.54499/ERA-MIN3/0002/2023 (https://doi.org/10.54499/ERAMIN3/0002/2023 ) funded by the Fundação para a Ciência e a
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: Multimedia Design or similar. 2. Purpose of the activity Development of research activities in Design, namely development of Visual Identities and Barnding, but also sites and design of platforms and digital
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at the development and optimization of sustainable biocatalytic strategies applicable to the recycling of plastic materials. Within the scope of the work plan, the selection of appropriate enzymes will be studied, as
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announcement also available at FEUP - FEUP| 2 Bolsas de investigação |AWARE_2026 Work Location(s) Number of offers available2Company/InstituteFEUPCountryPortugalGeofield Contact City Porto Website https
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to 16 – 4 points; grade equal to 15 - 3 points; grade equal to 14 – 2 points; grade less than 14 points - 1 point. c) Publications in the specific areas of the project (development of analytical methods
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preprocessing; Integration of geospatial and soil data into databases. Data processing and analysis: Application of geoprocessing and spatial analysis techniques; Development and calibration of predictive models