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researcher. You have experience with field and laboratory methods in soil or ecosystem ecology. Analytical thinker. You are familiar with statistical data analysis, ideally using R. Collaborative and
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regarded as a strong advantage. Familiarity with bioinformatics tools and programming in R or Python is not mandatory but would be considered a valuable asset. Additional Information Benefits Terms
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skills in English (spoken and written). Preferred qualifications: Familiarity with tools/programs such as GIS, Illustrator, R or other spatial analytical or visualisation platforms. Basic knowledge
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programming languages such as Python or R. You are able to collaborate effectively in a diverse, multidisciplinary research team. You have strong communication and social skills. Given the international
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datasets, from i.e. semi-quantitative LC-MS/MS proteomics, therefore proven affinity with R is an asset. You will work here The research is embedded within the chair Toxicology (link internet page Chairgroup
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that you have to work with large datasets, from i.e. semi-quantitative LC-MS/MS proteomics, therefore proven affinity with R is an asset. You will work here The research is embedded within the chair
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, preferably vegetation surveys, soil sampling, plant population monitoring, or ecosystem functioning measurements Good knowledge of the Dutch flora Experience with data analysis in R Strong organizational and
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marketing Experience conducting experimental research with human participants Statistical skills and command of standard software packages for analyzing experimental data (e.g., R, SPSS, SAS, Stata, JASP
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have some experience in programming (e.g., R, Python, Julia, Scala, Java, or C++) and in data analysis, management, preparation, and visualization, ideally as part of at least one end-to-end data science
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external or Eugene Pyun Opens external . Keywords Doctoral Researcher, Innovation, Creativity, Idea management, Co-creation, R&D Disclosures, Social evaluations, Project management, Leadership, Strategy