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the reference BiodivNBS/0007/2023 and DOI: https://doi.org/10.54499/BiodivNBS/0007/2023 , financed by Foundation for Science and Technology, I.P , through national funds, under the European Co-financed
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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 Tecnologia, I.P., through
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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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amplitude estimation to improve extreme adaptive optics (XAO) performance of the Extremely Large Telescope’s future Planetary Camera and Spectrograph instrument Compare via Monte Carlo models viable wavefront
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; Declaration on honor that the candidate fulfills the requirement contained in article 6 of the Regulation for Research Grants of the Foundation for Science and Technology, I.P. (model below, for student
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fulfills the requirement contained in article 6 of the Regulation for Research Grants of the Foundation for Science and Technology, I.P. (model below, for student enrolled in a non-academic degree course
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project activities, as predicted in the application: Activity 2. TRL 5 cultivation and AI model development Activity 3. Biomass analysis and process techno-economic and sustainability assessment
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the requirement contained in article 6 of the Regulation for Research Grants of the Foundation for Science and Technology, I.P. (model below, in case of student enrolled in a non-academic degree course integrated
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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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the specific characteristics of viscoelastic fluid models, which will provide a dataset for training the tensor-based neural network (TBNN). Subsequently, the TBNN model will be tested on deformation protocols