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or biological systems. Proficiency in implementing and interpreting statistical and ecological process models in R or Julia is essential. (Research Assistant) Applicants must hold a BSc or MSc in ecology
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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
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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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programming language (e.g., Python, MATLAB, R, Julia). Demonstrated interest in biological applications, particularly immunology. Strong analytical and problem-solving skills. Preferred Qualifications: Prior
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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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datasets using programming languages such as R, SAS, Stata and Python A strong quantitative background in mathematical and simulation modelling, especially Markov-chain, common decision-analytic model
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the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization libraries in R or Python. * Experience with GitHub, conda environment and
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track record of publications, (iii) experience in statistical data analysis using R, STATA, SAS or other statistical packages; (iv) excellent written and oral communication skills in both English and
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(cooperation with R programmer) modelling impact on soil ecosystem services in various real use cases and different scenarios. (several SOILPROM case studies in different countries focusing on different
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, (iii) experience in statistical data analysis using R, STATA, SAS or other statistical packages; (iv) excellent written and oral communication skills in both English and Chinese (Cantonese and Mandarin