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for Statistical Computing and with programming in the Python language. 5. Eligibility:Candidates who meet the requirements of point a) of paragraph 1 of article 2 of the Research Grant Holder Statute, as amended by
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subject to severe fires; These tasks are further supplemented by: 7. Statistical processing of the data obtained; 8. Preparation of reports and scientific articles/posters; 9. Conducting field surveys with
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for the determination of the reduction of pathogenic loads; ii) treatment methodologies of end-of-life substrates; iii) methods for characterising substrates; iv) statistical treatment of results, namely experimental
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plasma mass spectrometry (MC-ICP-MS), with particular emphasis on the study of silver objects; Skills in the processing, statistical analysis, and interpretation of scientific data, as well as experience
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conducting trials to evaluate essential agronomic characteristics c) Good level of knowledge on informatics and statistics; d) Proficiency in Portuguese and English, written and spoken; e) Availability to work
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variation in travel behavior (e.g., mode and destination choice) should be explained with a range of techniques (e.g., comparing machine learning with state-of-the-art statistical models) to inform
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gas exchange, water potential, chlorophyll fluorescence, and other indicators of water stress; Collect, organize, and statistically analyse experimental field data, ensuring data quality, consistency