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and will actively participate in research activities related to intelligent urban mobility studies, in particular mobility data analysis and modeling. Statistical modeling software and other tools
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, within the scope WP8 - “Waste Smart Management”, is to explore the behaviour of consumers in what regards circular economy practices. This includes: - Analysis of the characteristics of different re-use
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activities, foreseen in the application: Activity/Task 1 – Optimization/validation of analytical methods Activity/Task 2 – Sampling and analysis of air/vegetation/soil Activity/Task 3 – Studies of human
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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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in the project proposal for Profile 7, in particular: Task3: Multimodal Data Analysis and Machine Learning; Task4: Coating Optimization and task: Dissemination. The work will focus on the study and
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(CE) and the Interview (I), with each factor weighted at 60% and 40%, respectively: Final Score = (60% × CE) + (40% × I) The right of non-recruitment is reserved in the event that the candidate with
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conducted with the best ranked candidates whose classification in the curricular evaluation is equal to or higher than 4 points (4 in 5 points). The evaluation criteria for the curricular component are
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analysis, performance evaluation, and liaison with local and industrial partners. Contribution to the development of digital tools, models, and algorithms related to the simulation, optimisation, and
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control strategies for PCS, integrating the findings from the previous item Perform experimental work and data analysis from scaled-down PCS XAO prototypes Legislation and regulations: Law No. 40/2004
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points c) Research Experience in the project area, namely in DNA extraction, target gene quantification, metagenome analysis using computational tools and statistical data processing – up to 8 points; in