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preparation and analysis of data sets and literature, including ESM model output data cleaning, sorting and bias corrections as well as preparation of run scripts for standalone model simulations Plotting
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, promotor binding studies) chemical analysis of secondary plant substances and their reaction products using HPLC-MS and GC-MS analyzing and publishing the results in international journals grant proposal
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well as the communication between root and shoots in the regulation of root traits. This includes element and phytohormone analyses as well as investigations on gene regulation and DNA sequence variation. The ultimate goal
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reviews, empirical data collection, statistical analysis, and editorial work (manuscripts, social media, and the department’s website) Proactively engage with the vibrant research environment of the unit
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for data analysis interdisciplinary working environment and very good conditions for developing your scientific career and networks doctorate within a structured program The DSMZ offers a lively
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analysis or motivation to learn and apply these quantitative methods Advanced written and oral communication skills in English, proven academic writing skills Desire for semi-independent field work in the