Lea Seeger

master thesis project: grid-based modeling of metapopulations in fragmented forests

chemodynamics, POPs regulation

chemical formal kinetics, growth in time-continuous systems (Python), growth in time-discrete systems (Python)

descriptive statistics (R,SPSS), multivariate analysis (R,SPSS), neuronal networks (R)

development of predictive models to control the anaerobic digestion process (Python), parameter optimization, sensitivity analysis

influence of the physico-chemical state on the inhibition by ammonia toxicity in Anaerobic Digestion Model No. 1 (R,Python), comparison with theoretical expectations, hypothesis formation of a regime shift, inhibition threshold identification, data analysis

customer support (SAP-R3,SAP-ISU), area management, project management: change detection of rainwater fee areas in Ritterhude, Lower Saxony

sampling, preparation for the coffee industry

quality control, production for clinical diagnostics

application of mathematical and computational methods in physics, chemistry

bachelor thesis: optimization of various ester syntheses for the implementation of green chemistry processes