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microbiological techniques; 4) Process data and establish possible correlations between materials, conservation state, and storage conditions; 5) Contribute to the development of preservation recommendations; 6
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the development and maintenance of the Four4All Knowledge Hub (a dissemination platform based on scientific knowledge and AI). 5. Applicable legislation and regulations: The selection process and the award
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“ChangEDU – Understanding change in Education: Conditions, developments and achievements” (Project n. 16468, Operation Code LISBOA2030-FEDER-00763900), funded by COMPETE 2030 and national funds, under
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for Science and Technology/MCTES, I.P., through national funds (PIDDAC), co-financed by the European Regional Development Fund (ERDF) of the European Union, through the COMPETE2030-FEDER-00672800 of Portugal
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be enrolled in a non-degree course integrated into the educational project of a higher education institution, developed in association or cooperation with one or more R&D units, to be duly proven
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the project “MitOconexão: investigating the mitochondrial link in oncocardiology” (Ref. Norte2030-FEDER-02713500), co-funded by the European Union through the European Regional Development Fund (ERDF) under
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that are only partially met by the development of special purpose classical computing units. This has motivated a recent interest in using quantum computing to machine learning tasks, in particular to clustering
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research activities. Development of automated procedures for the extraction, processing, integration, and calculation of scientific indicators. This research context and methodological approach is
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of the Li-cycle project will include the following activities: development of polymeric membranes and flow electrodes based on deep eutectic solvents with an affinity for lithium and their integration into a
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-FEDER-01186300, co-financed by the European Regional Development Fund (ERDF) through the Norte Portugal Regional Coordination and Development Commission (CCDR-N) under the Norte Regional Programme