15 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" positions at University of Beira Interior in Portugal
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to be enrolled in a study programme leading to a PhD (or in a non-degree programme). - Have proven experience in physical and digital modeling to predict the structural performance of packaging, enabling
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/2019, of 25th January, shall be obeyed. The presentation of a recognized MSc certificate is mandatory for signature of the contract. More information can be obtained at: https://www.dges.gov.pt/en/pagina
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recognized PhD certificate is mandatory for signature of the contract. More information can be obtained at: https://www.dges.gov.pt/en/pagina/degree-anddiploma-recognition . Additional Information Benefits A
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implementing an architecture, such as a Lakehouse, capable of storing heterogeneous data from external, internal, and crop sensing layers. Actions include modeling schemas for unstructured and structured data
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monthly maintenance allowance will be granted in accordance with the Annex I of the RBIUBI, with the amount of 651,12 € according to the updated values that can be consulted at https://www.fct.pt/wp
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the amount of 651,12 € according to the updated values that can be consulted at https://www.fct.pt/wp-content/uploads/2025/02/Tabela_valores_SMM_2025.pdf . The fellowship holder will have a personal accident
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structural stability of RNA, isolated or complexed with different compounds, using microscopy techniques (SEM and TEM) and Circular Dichroism; 3) Characterization of the biological activity of RNA through
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”, with Fundação para a Ciência e a Tecnologia (FCT), taking place at the Department of Informatics of the University of Beira Interior https://www.ubi.pt/entidade/Departamento_de_Informatica , under
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on the recognition of academic degrees may be obtained at: https://www.dges.gov.pt/en/pagina/degree-anddiploma-recognition Proof of enrolment in a third-cycle study programme or non-degree awarding course must be
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, internal, and crop sensing layers. Actions include modeling schemas for unstructured and structured data, such as pH and CO2 time series, defining data partitioning policies to optimize historical queries