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requirements: Applicants eligible for this call must cumulatively meet the following two requirements: Requirement 1: Be enrolled in a PhD program in the area of Computer Engineering, to be duly proven
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for a research grant within the framework of project “LOG-in - Rethinking last-mile logistics: customizing integrated delivery strategies for a sustainable e-commerce,” with number 15025 and operation
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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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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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: Engineering and Data Science Admission requirements: Applicants eligible for this call must cumulatively meet the following two requirements: Requirement 1: Be enrolled in a PhD program in the area of
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of Research Grants of Fundação para a Ciência e a Tecnologia, in force and Regulation of Research Grants of University of Porto, in force. Work place: The work will be developed at the Department of Civil
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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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-00771300, , funded by FEDER funds through COMPETE 2030 and with financial support from national funds/OE through Fundação para a Ciência e a Tecnologia, I.P., under the following conditions: Scientific Area
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://doi.org/10.54499/UID/50020/2025 , funded by Fundação para a Ciência e a Tecnologia, I.P. /MECI through national funds, under the following conditions: Scientific Area: Chemical Engineering Admission
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Research Fellow) and Regulation of Research Grants of Fundação para a Ciência e a Tecnologia, in force and Regulation of Research Grants of University of Porto, in force. Work place: The work will be