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knowledge in mechanical vibrations and nonlinear dynamics, demonstrated through scientific publications and successful completion of 2nd and 3rd cycle (Master’s and PhD level) curricular units (proven
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other areas than those mentioned above – 0 points d) Knowledge and experience in: i) analytical methods (SPE, QuEChERS, DLLME) to quantify contaminants using GC-MS/MS and/or LC-MS/MS; ii) statistical
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than 14/20 (1 point); B. Knowledge of Interactive Systems Design, Cyber-Physical Systems, Predictive Maintenance Systems, Automation, Machine Learning and Artificial Intelligence, Sensor Networks
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FCT code 2023.17217.ICDT and DOI https://doi.org/10.54499/2023.17217.ICDT . , funded by COMPETE 2030 by Portugal 2030, and by the European Union, financial support from national funds/OE through
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of Scientific Research Fellow) and Regulation of Research Grants of Fundação para a Ciência e a Tecnologia, in force ( https://www.fct.pt/financiamento/programas-de-financiamento/bolsas/ ) and Regulation