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assessments. Key responsibilities Design and conduct experiments. Operate and maintain gas measurement equipment and flux chambers. Process, analyze, and visualize large data sets using Matlab, R, Python
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analysis, particularly in (quasi-)experimental methods Proficiency in working with R Experience with survey research, especially survey and conjoint experiments Experience with both solo work and teamwork
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management Solid knowledge of statistical methods as applied to sensory testing and consumer research; experience with key software such as XLSTAT, R, SPSS or similar Multivariate data analysis skills (sensory
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handling and processing, including import, cleaning, filtering, and visualization of data in R, Python, or similar tools. Experience with planning and execution of measurement campaigns. Fluency in spoken
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, matlab, R) will be advantageous for all fellowships. We seek candidates that are team players who can play active scientific and social roles in a diverse and international lab setting. Strong
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background in individual- /agent-based modelling Experience with modelling of animal energetics Strong R and Netlogo skills Good understanding of movement & population ecology Experience in publishing
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(e.g., R, Python). Proven ability to publish at a high international level. It is a prerequisite that you are good at communicating in English. Strong collaborative skills and good collaboration skills
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statistical analyses (e.g. R, Python) Fieldwork experience in ecological or environmental sampling Scientific publishing and project coordination Who we are The Department of Ecoscience is engaged in research
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: Extensive experience in programming using Python, R, or other languages Research experience in remote sensing of cover crop, crop type classification, and crop aboveground biomass quantification Insight
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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