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Field
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quality control standards Quantitative methodology Stata, SAS, SPSS, MPLUS, R, or MAXQDA In lieu of the education/experience requirement, additional related education and/or experience, above and beyond
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simulations and perform computational experiments using high-level programming languages (e.g., Python, MATLAB, R, or Julia). Curate and integrate experimental data to calibrate and validate models, including
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of the candidate’s profile: 35% Additional comments OTM-R. The ICP endorses the principles of the European Charter for Researchers and Code of Conduct for the Recruitment of Researchers that define the EU Human
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degree (2 points) - Master's degree (1 point) - Scientific publications (up to 0.50 points per publication and up to a maximum of 1.5 points). - Work experience: previous positions held, participation in R
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analysis and data handling (e.g., R or other relevant platforms) Experience conducting ecological fieldwork, preferably in remote or tropical environments Practical experience in laboratory techniques
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field Research experience in plant-pollinator interactions, floral evolution, or plant reproductive ecology Strong skills in statistical analysis and data handling (e.g., R or other relevant platforms
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Ordinance No. 1553-C/2008, of 31 December, amounting to €2,351.53. 7. Work plan: The researcher is expected to carry out their research and development (R&D) activities within the scope of the CIDERWISE
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research; d) Experience in conducting basic and advanced quantitative data analysis and proficiency in using statistical software, such as SPSS, R, or STATA; e) Proficiency in Portuguese and English, both
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include research experience in maternal, perinatal, or paediatric fields, proficiency in other statistical software like R, and holding or nearing completion of a DPhil/PhD. Applications for flexible
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. This must include strong Excel skills. Proficiency in R is a plus. Strong working knowledge of Mplus, in addition to at least one other general statistical package (e.g., SPSS, R, or SAS), is required