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of a higher education institution, developed in association or cooperation with one or more R&D units, a requirement to be duly proven at the time of signing the contract. Note: In the case of masters
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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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. Knowledge of Control Systems, Mobile Robotics, Automation, Data Science, IoT and Machine Learning, as well as computational learning techniques, with application in the context of manufacturing systems
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in R&D projects in Control Systems, Mobile Robotics, Automation, Data Science, IoT and Machine Learning, as well as computational learning techniques, with application in the context of manufacturing
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for a research grant within the framework of the Funding UID/00511/2025 of the Research Unit LEPABE - Laboratory for Process Engineering, Environment, Biotechnology and Energy, and DOI https://doi.org
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course integrated in the educational project of a higher education institution, developed in association or cooperation with one or more R&D units, a requirement to be duly proven at the time of signing
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Grant within the framework of the Funding UID/50020/2025 of the of the Research Unit LSRE-LCM – Laboratory of Separation and Reaction Processes – Laboratory of Catalysis and Materials, and DOI https
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at the time of contracting; or Hold a degree and be enrolled in a non-degree course integrated into the educational project of a higher education institution, developed in association or cooperation with one
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enrolled in a non-academic degree course integrated in the educational project of a higher education institution, developed in association or cooperation with one or more R&D units, a requirement to be duly
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the educational project of a higher education institution, developed in association or cooperation with one or more R&D units, a requirement to be duly proven at the time of signing the contract. Note: In the case