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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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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
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– 0 points; c) Knowledge of SQL databases and CODESYS – 5 points; only CODESYS – 2 points; no experience – 0 points; d) Teaching experience in robotics – 5 points; no experience – 0 points