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of hydrological processes, extreme value statistics and experience in hydrological modelling is an asset excellent programming skills (MATLAB, R, Python, etc.) ability to work independently towards defined goals
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PhD ‘Forest communities across natural and anthropogenic gradients in the Eastern Himalayas’ (m/f/x)
of matrix population and integral projection models to link plant demography to plant population dynamics • Analysis and statistical evaluation of community data for diversity, composition and biomass in
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to the benthic turnover of carbon, iron, and nutrients. The place of employment is Geesthacht (Germany). Your tasks: analyses of sediment and water samples multivariate statistics and modelling of benthic
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aquatic ecosystems and biogeochemistry Strong numerical and data analysis skills Knowledge of scripting languages like R, Python, or Matlab is an advantage Experience in statistical modelling and time
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statistical analysis of observational estimates of Greenland runoff and ocean surface salinity products with respect to extreme events conducting original research with the model output and other data products