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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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and FCT code. 2023.18225.ICDT and e DOI https://doi.org/10.54499/2023.18255.ICDT , funded by COMPETE 2030 by Portugal 2030, and by the European Union financial support from national funds/OE through
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electrical and Computers Engineering - Specialization in Automation - lower than 13/20 (1 point); B. Knowledge of Cyber-Physical Systems, Predictive Maintenance Systems, Automation, Machine Learning and
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-10-2026 (until 23:59 local time). Applications must be submitted via the online application system available at https://www.apply.up.pt (Ref. ST.e.Biofilm_PhD_Bolsa1_Out -BOLS-FEUP-26-44) by 06-10
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, Automation, Machine Learning and Artificial Intelligence, Sensor Networks, Hierarchical Decision and Control Systems, with a primary focus on manufacturing and autonomous systems. (1 to 5 points); C
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points); b) Publications in the area of artificial intelligence, machine learning, computational simulation and multi-agent systems (maximum 5 points); c) Research experience in the project area (maximum
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: The call is open from 04/09/2026 a 17/09/2026 (until 23:59 local time). Applications must be submitted via the online application system available at https://www.apply.up.pt (Ref. NUTRILIX-BII-CRISTALIZAÇÃO
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must be submitted via the online application system available at https://www.apply.up.pt (Ref. BII2-PVBoost-BOLS-FEUP-26-24) by 17-09-2026, accompanied by the following documents: - Motivation letter
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: The call is open from 11-09-2025 to 24-09-2026 (until 23:59 local time). Applications must be submitted via the online application system available at https://www.apply.up.pt (Ref. ª LEPABE
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31 Jul 2026 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Electrical engineering Engineering » Computer engineering Engineering » Other