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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
- SIPG LAB/ISR and 1801P.01460.1.04 LARSYS/ISR BASE 2025-2029 – SIPG LAB/ISR, financed by national funds through FCT/MCTES Workplan: Develop new representations for computer vision and machine learning
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, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX - Jury Composition: President: Bruno Miguel de Oliveira Sousa Effective Members: Filipe João Boavida Mendonça Machado de Araújo, Vasco
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/2029) Amount of the monthly stipend: The amount of the scholarship is € 1359,64 according to the current scholarship value table. (FCT table http://www.fct.pt/apoios/bolsas/valores ). The payment will be
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the following conditions: 1. Scientific Area: Engineering 2. Admission Requirements: i) Student enrolled in a Doctoral Program in Electrical and Computer Engineering or related fields; ii) Suitability
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- Application Submission Candidates must access and register on the electronic platform https://apply.uc.pt/ to submit their application, selecting the procedure to which they wish to apply. Documents uploaded
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on: https://www.dges.gov.pt/pt/pagina/reconhecimento Workplan and the objectives to achieve: The work to be carried out consists of the development and experimental validation of control and estimation
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of the information referred to in paragraph 2 of article 5 of the RSE. 5.2. Candidates must submit the request and supporting documents, using digital tools, in PDF format, mandatorily, by electronic means
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. The list of admitted and excluded candidates and the final list of classification will be publicised on the website of NOVA.id.FCT (www.novaidfct.pt ) and sent by electronic mail with receipt of delivery
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requested to the email [email protected] . Where to apply Website https://www.cmuportugal.org/admissions-and-scholarships/ Requirements Research FieldOtherEducation LevelBachelor Degree or equivalent
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submitted online, through the electronic platform of FCiências.ID (http://concursos.fciencias-id.pt ). On the electronic platform, applicants will complete a mandatory section on Personal Data [name, address