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Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0293.pdf CALL FOR GRANT APPLICATIONS (AE2026-0293) INESC TEC is now accepting grant applications to award 1 Research Grant (BI
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by a EU programme Reference Number AE2026-0287 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt
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programme Reference Number AE2026-0286 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0286
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the European Union through the COMPETE 2030 Programme, of Portugal 2030, under the following conditions: Scientific Area: Machine Learning Admission requirements: Candidates who cumulatively meet the following two
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? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0272.pdf CALL FOR APPLICATIONS: RESEARCHER Job/position/grant: Job reference: AE2026-0272 (CPES-Geral-CPES
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.ICDT (https://doi.org/10.54499/2023.16314.ICDT ), funded by the Portuguese Foundation for Science and Technology (FCT), I.P., in the following conditions: Type of Grant: Research Grant for a PhD student
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environment. 4) Development of machine learning and deep learning models for forecasting reduced visibility, low cloud ceilings, and adverse weather conditions impacting air operations. 5) Implementation
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segmentation, normalization, and feature extraction in the time, frequency, and time-frequency domains. 4) Development and training of machine learning and deep learning models (such as SVM, Random Forests, CNN
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HIL environment rather than only on offline simulation. Learning outcomes anticipated include stronger understanding through immediate feedback on live systems, deeper engagement with
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of the Foundation for Science and Technology, I.P. in force (https://www.fct.pt/apoios/bolsas/regulamento.phtml.pt ). Where to apply E-mail [email protected] Requirements Research FieldEngineering » Biomedical