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://github.com/FZJ-IEK3-VSA/RESKit ). This framework currently uses historical weather data to model energy output and will be further developed to allow the simulation of renewable electricity production under
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identify the necessary solutions. The findings should also remain valid under different climate change scenarios. With its global state-of-the-art energy system model, ICE-2 at Forschungszentrum Jülich
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experience growing, managing, and phenotyping plants in the field and greenhouse. You have experience using modern approaches in root phenotyping, image analysis, or simulation modeling to understand
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on mesoscale fluid dynamic simulations, microclimatic and turbulence modelling procedures in urban environments shall be performed. Subsequently weather-and turbulence-related limit values shall be formulated
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academic qualification (usually PhD). Job ID:RTG2947-T7 Title:Microclimatic effects: Weather-robust UAS flight planning and operation Investigators:Dr.-Ing. habil. Judith Rosenow, Chair of Air Transport
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sound background in geophysical fluid dynamics, experience in numerical ocean or atmospheric modelling, and experience with numerical data analysis. Good scientific presentation, writing, and
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objective is to identify under what technical and economic conditions innovative technologies—such as fusion energy or perovskite solar cells—can be effectively incorporated into the energy system. You will
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. Santiago Botía with close collaboration with Dr. Christoph Gerbig of the Atmosphere-biosphere Signal Attribution (BSAT) and Atmospheric measurements and mesoscale modeling (ATM) groups at the Max-Planck
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) software for topology-informed biomedical image analysis and large foundation models. You will be responsible for Develop new machine learning algorithms for microscopy image analysis problems (2D/3D/4D/5D
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an active student scene and a diverse cultural life. We are looking to fill a PhD position (m/f/d) - Improving understanding of seasonal and interannual carbon and water fluxes using process-based modelling