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of biofilms and fouling organisms associated with plastic debris; b) Laboratory processing of the collected samples, including DNA extraction from biofilms and/or associated organisms, PCR amplification
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the food sector; Data collection for the analysis of process sustainability (environmental, economic and social); Technical-scientific publications and project dissemination activities. 5. Applicable
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of the new biomaterials considering their application in the food sector; Data collection for the analysis of process sustainability (environmental, economic and social); Technical-scientific publications and
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18 Mar 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 1 month ago
higher education institution, within the project “HELIPY- Outsmarting HELIcobacter PYlori infection using lipid based-decoys”, ref. - COMPETE2030-FEDER-00686400, Operation No. 15757, funded by COMPETE2030
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 3 months ago
cumulative period of two years in this type of fellowship, consecutive or interpolated, may benefit of the award of the fellowship under this Call, for which, according to the point “Application deadline and
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ectoderm, cardiac mesoderm, and hepatic endoderm to identify key differentiation transcription factors; (2) a comparative analysis between hepatic organoids generated by different activin A signaling
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | about 2 months ago
contracted; Research experience in Cardiovascular diseases; Preferential: Hands-on expertise in: i) cardiac cell culture, ii) immunofluorescence applied to the cardiac tissue; iii) processing and sectioning
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into a highly active research team with strong international visibility in image and video compression, learning-based coding, and multimedia signal processing. This project is funded by FCT/MECI through
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capacity to process complex simulation data, fine-tuning its interpretation algorithms, and ensuring that gap-filling recommendations are both biologically plausible and supported by external resources