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Researcher (R1) Positions PhD Positions Country Portugal Application Deadline 10 Nov 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job funded through
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following requirements may apply for this grant: a) Hold a PhD degree in Civil Engineering, Geotechnical Engineering or similar, obtained in the last three years before the application to this grant; b
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within the framework of project 2023.14874.PEX - anomaly - Machine Learning-based Models for Advanced Anomaly Detection in Dam Structural Health Monitoring, with DOI https://doi.org/10.54499/2023.14874.PEX
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the contract. Activity Outline: Research on real-time monitoring of tool and machining process performance, focusing on the integration of sensors within tool holders to collect continuous data on temperature
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Intelligence Benefits and AI Learning Capabilities for Energy Consumers, with nr. 15174, operation code at the Funds Platform COMPETE2030-FEDER-00883700, funded by FEDER funds through COMPETE2030 and with
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18 Sep 2025 Job Information Organisation/Company FEUP Department Human Resources Division Research Field Engineering » Other Engineering » Biomedical engineering Engineering » Computer engineering
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. or - To be a student enrolled in a PhD program in Chemical Engineering or related areas; this requirement must be duly verified at the time of hiring. Requirement 2: - To hold a Master’s degree in Chemical
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within the framework of project “FiberNest XL - equipamento de corte a laser de fibra de grandes dimensões com auto-nesting”, with nr. 20436 and operation code at the Funds Platform (Balcão dos Fundos
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within the framework of project “FiberNest XL - equipamento de corte a laser de fibra de grandes dimensões com auto-nesting”, with nr. 20436 and operation code at the Funds Platform (Balcão dos Fundos
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by legislation; supervision/co-supervision of PhD and MSc, and training actions in higher education institutions in the indicated recruitment area. A2) Criteria for Knowledge Transfer and Valorization