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conduct fieldwork across European mountain ranges and model the distribution of microbial taxa. The newly generated data will be complemented with distribution records from our in-house global fungal
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to climate change and variability Hydrological processes in organosols and peat-affected soils Modeling Hydrological Extremes Using Machine Learning Spatial and time distribution of precipitation within
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changes in the statistical distribution of selected climatic variables. Consequences of revealed changes for the occurrence of extreme climatic events will also be investigated. The research will focus
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, the dielectric properties of the material affect surface charge distribution and the overall electric field. The research on the influence of electrode material on the efficiency of ozone generation in SDBD
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or equivalent Specific Requirements PhD from Electrical Engineering Very good publication record Experience in Power System Simulation (distributed generation, smart grids, power system stability