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information about their environment to prompt adaptive responses. We focus on the jasmonate (JA) pathway, a master regulator of plant growth, defense, and fertility that triggers transcriptional changes
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models, especially logistic regressions and Poisson models Experience in dealing with large data sets (e.g. survey data) Experience in dealing with versioning systems (such as Git or GitHub) Very good
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for an excellent scientist with a University degree in Meteorology or a related subject such as Physics, Mathematics or Geosciences. Prior experience in analyzing large-volume observational data and with programming
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science researchers Data analysis of large spatially resolved lipidomics data sets Your profile Masters, Diploma or equivalent degree in Organic Chemistry, Analytical Chemistry, Biochemistry or related
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Western Madagascar. To gain a better understanding of how visual conditions and visual processing affect small- and large-scale navigational strategies, we will track how mouse lemurs navigate throughout
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. You have expertise in working with large metabolomic and transcriptomic datasets using open source statistical packages such as R and python. You have solid English and German skills, which are a
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Group “Nonsmooth Variational Problems and Operator Equations” (Head: Prof. Dr. M. Hintermüller) to be filled at the earliest possible date. Field of work: Distributed algorithms for physics-based large
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. The working area is the coastal area of the Baltic Sea. Multibeam echo sounder, side-scan sonar and sediment echo sounder data are available over a large area. The data sets can be supplemented and validated
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: Your tasks: Planning, supervising and analyzing large-scale wheat experiments. Data curation of comprehensive genotypic and phenotypic data sets. Development of innovative genome-wide prediction
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agronomy, agricultural engineering, geography, mathematics, physics or similar good knowledge of process-based crop modelling (e.g. DSSAT, APSIM, WOFOST, …) computer programming or scripting skills in (e.g