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Field
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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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consumption of food products as well as the interactions of food system with natural resources and the environment. Tasks and Responsibilities: Actively contribute to uptake R+D+I economic funds from both
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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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interaction-based experiments. Proficiency in Stata, R, or SPSS. Preferred Competencies Outstanding verbal, written, presentation, and organizational skills. Working Conditions This position is currently
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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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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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, Matlab, Python or R) Demonstrated a high level of expertise in analysis of large and complex datasets Detail-oriented and excellent communication skills Excellent command of written and spoken English
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning
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Programming skills in Python, R, and/or GIS tools Highly valued: Background in LiDAR point-cloud analysis and vegetation structure analysis or habitat monitoring Experience applying AI or machine learning