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or interest in working with R. You can demonstrate very good writing skills. You can demonstrate a pro-active attitude. You have good communicative skills, and a collaborative and multidisciplinary interest
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/intermediate programming skills in R and/or python Ability to adapt to the research environments while being full members of two labs Desirable skills statistical analysis basic processing of NGS data experience
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from the doctoral-level education they will receive. Experience in the R programming language (or alike), statistical inference and the use of machine learning methods is a merit for the position. How
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the position Demonstrated expertise in organization and analysis of quantitative datasets and statistical modeling in Stata or R Excellent written, verbal, and interpersonal communication skills
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programmes Much of the programme coursework requires the use of statistical programmes. Most students will use R software, although some students will use other programmes, such as Python, Stata, or SAS
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of mathematical modeling and data analysis. Experience of programming languages and tools commonly used in biophysical or agricultural modeling (e.g., Python and R). Familiarity with food system resilience
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Lepidoptera and plant ecology Statistics and programming (e.g. in R) The application should consist of the following (all files in PDF-format): Curriculum vitae including publication list, Master [alternatively
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or willingness to learn metabolomics, statistical data analyses, data processing and R. We offer We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which - after a
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communication and writing skills in English. Other helpful competences include advanced statistical proficiency (ideally in the R software environment) and teamwork ability. Conditions of employment The preferred
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Sciences or a related discipline Excellent academic writing skills in English Have some experience with quantitative methods and statistical software like R, STATA, Python or similar Be enthusiastic about