186 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs in Portugal
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 6 days ago
means of an application form, made available at http://ist-id.pt/concursos/emprego-cientifico-projetos/ electronic address, addressed to the President of Instituto Superior Técnico Association
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. *- The administrative verification of the recognition of the degrees obtained abroad will be fulfilled for the purpose of contracting, in case of approval of the candidatures. Further information at https
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of the degrees obtained abroad will be fulfilled for the purpose of contracting, in case of approval of the candidatures. Further information at https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition
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(available at https://dre.pt/dre/legislacao-consolidada/lei/2004-58216179 ) and Research Scholarship Regulation of the Foundation for Science and Technology, I.P. approved by the Regulation No 950/2019
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at http://www.fe.up.pt/concursos , reference on-line nº 1426, until de 23h59m (local time) of 05-02-2026. The application must include the following information: full name, number and date of identity card
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. Formalization of applications: 14.1. Applications must be formalized at http://www.fe.up.pt/concursos , reference on-line nº 1432, until de 23h59m (local time) of 05-02-2026. The application must include: full
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program (2025.02832.MAD), funded by FCT-Madeira, under the following conditions: I. Scientific Area: Electrical Engineering and Computer Engineering II. Admission Requirements
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: https://www.dges.gov.pt/en/pagina/degree-and-diploma-recognition . II. Preferential Requirements Experience in using the digital platforms: myFCT, CIÊNCIA ID, CIÊNCIA VITAE, IPCTN, PCT - Portal de Ciência
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that allow for an with assessment of the skills of those interested. 10 - Instructions of the Application process - The candidates must instruct their requirements the following documents: a) Identity card or
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the field of Biological Engineering available within the project “Machine learning-driven CD19 CAR T cell manufacturing for improved safety and efficacy in the treatment of hematologic cancers”, Ref