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. Ineligible applicants will be notified by email, with details of the missing eligibility elements. Complaint and appeal procedures: Candidates have a period of ten working days, after the disclosure referred
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@civil.uminho.pt , with the subject “Edital BI-ISISE-UMINHO-C644876810-00000019-B25’”, with the following documents: Elements of the National Identity Card/Citizen Card/Passport/Visa/Title of Residence; Curriculum
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Portugal with Blockchain” funded by the Recovery and Resilience Plan (RRP), Component 5 - Business Capitalization and Innovation, integrated into the Resilience Dimension, aimed at enhancing
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Blockchain” funded by the Recovery and Resilience Plan (RRP), Component 5 - Business Capitalization and Innovation, integrated into the Resilience Dimension, aimed at enhancing the competitiveness and
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being notified of his/her position on the list ranking of candidates via email. Ineligible applicants will be notified by email, with details of the missing eligibility elements. Complaint and appeal
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“'Decentralizing Portugal with Blockchain” funded by the Recovery and Resilience Plan (RRP), Component 5 - Business Capitalization and Innovation, integrated into the Resilience Dimension, aimed at enhancing
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of the Recovery and Resilience Mechanism (MRR) of the European Union (EU), framed in the Next Generation EU, for the period 2021 – 2026, under the following conditions: . SCIENTIFIC AREA: Hotels and restaurants
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Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra | Portugal | 20 days ago
Resilience Plan (PRR), under the implementation of the sub-investment with the code C19-i08, designated as “Smart Territories - AMA” of the PRR, component C19 – Public Administration – Digitalization
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: Any other elements the candidate considers relevant. Motivation letter Declaration under oath by the candidate indicating the type of scholarship(s) for which he/she applied and their duration
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statistics and/or machine learning, particularly in multivariate analysis (e.g., principal component analysis, regression) and data integration methods; Experience in scientific research activities