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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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conducting statistical analyses for experimental studies, plus solid knowledge of time series analysis; 5 points; Experience in other relevant engineering fields – 2 points. c) High proficiency in design
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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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characterization. This will require knowledge of statistical data processing. (ii) Assess the impact on soil/substrate of using wastewater for agricultural irrigation (Activity 2), in order to understand
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the project’s scope – up to 1 point. c) Knowledge of MATLAB, Python, or equivalent software for the analysis and processing of experimental data – up to 5 points. The curriculum of each candidate will be