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, validate, and refine ReaxFF (or related) force fields against high-fidelity quantum mechanical data and targeted experiments. Automation & High-Throughput Pipelines: Design, implement, and maintain automated
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: Implement ReaxFF force fields in large-scale atomistic simulations to predict material behavior under various conditions. Data Management and Collaboration: Analyze simulation results to gain insights
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timescales, due to coastal darkening (COD) and artificial light at night (ALAN), and will determine drivers, sources and impacts of these changes at both large and small scales. The scientific evidence-based
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in the field of digital visualization or infographics Theoretical, conceptual, and/or practical knowledge of data analysis Theoretical, conceptual, and/or practical knowledge of working with large
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highly motivated PhD student to join a DFG-funded international project that investigates plant - microbiome interactions through large-scale metabolomics and other - omics platforms. Your tasks: Process
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for habitats and biodiversity. The three-dimensional circulation, its variability and systematic changes will be investigated using model and observation data, as well as the dispersion of Lagrangian particles
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The Leibniz Institute for the Analysis of Biodiversity Change (LIB) is one of the large, globally connected research museums of the Leibniz Association. In addition to excellent research
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of climate services. RIVIERADE will target three European Seas (Baltic, Black, Mediterranean), to produce data and information for ocean health, sustainable blue economy, and coastal climate risks
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. This includes research on psychological assessment, psychometrics, and methods in large-scale assessments. Your tasks You are expected to broaden the research profile of the research unit by pursuing independent
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., EuroCrops, FAOSTAT). Your qualifications: A completed Master’s degree in Agricultural Engineering, Environmental Science, or Geoinformatics. Sound expertise in remote sensing applications, big data