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, preferably with a proven background in, or willingness to learn, physics-based numerical modelling and programming skills, in Python (preferably), R, MATLAB, or a comparable language. Openness to collaborate
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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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software such as SPSS, R, etc.; proficiency in spatial analysis tools such as ArcGIS/QGIS or willingness to learn; a demonstrated ability and willingness to spend a good amount of time in the case study
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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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models. Experience (or strong willingness to learn) in programming and data analysis (e.g. Python, MATLAB, R, Fortran, or similar). Curiosity and motivation to work on fire emissions, air quality, and
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learning) and uncertainty assessment; proficiency in high-level programming languages such as Python or R; excellent scientific writing skills in English; a strong interest in environmental characterization
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, or modelling of socio-environmental systems. Proven programming skills in Python, R, or a comparable language. Interest in developing methodologies to assess localized climate hazards, exposure, and
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, including (but not limited to) longitudinal survey research, (automated) content analysis, and experiments; proven proficiency in statistical software such as SPSS, Stata and/or R; a scientific mindset
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behavioral datasets Proficiency in scientific programming (e.g. Python, MATLAB, or R) for data analysis and visualization A clear affinity for insect behavior, sensory ecology, or movement ecology; Fieldwork