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points; Master in related areas – 1 point; Others Masters – 0 points); b) Final Master's classification: equal to or greater than 16 points - 5 points; 15 points - 3 points; less than 15 points - 1 point
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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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15/20 points (3 points), Classification/Average of the master’s degree in Informatics Engineering - lower than 15/20 (1 point); B. Knowledge of Cyber-Physical Systems, Predictive Maintenance Systems
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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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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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other areas – 1 point; no laboratory experience – 0 points. The two highest-ranked candidates, according to the criteria set out above, who obtain a score of at least thirteen (13) points in
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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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in the geotechnical area – 2 points, Publications in other areas – 1 point; c) Research experience on the area of the geotechnical characterization and modelling under cyclic loads – 6 points; in
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the project’s area – 5 points; in related areas – 2 points; outside the project’s area – 1 point. Candidates will be rated on a scale from 1 to 20 points. Candidates scoring below 13 points in the curriculum
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to 5 points; in related areas – up to 3 points; Other areas – 1 point The curriculum of each candidate will be evaluated in a 1-20 points scale. Candidates with less than 16 points in the curricular