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aerosols. - Visualization and post-processing tools: Proficiency in visualization tools (e.g., Python) and data post-processing tools to analyze simulation results and generate graphs, maps, and diagnostics
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summarizing results, trends, and interpretation. Prepare visuals (graphs, micrographs, charts) for internal meetings and publications. 6. Collaboration and interdisciplinary communication Work in an
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for acquiring, managing, analyzing, modelling, and visualizing geographic information to understand spatial patterns, processes, and relationships. Lund University GIS Centre at the Department of Earth and
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Postdoctoral Researcher in Semantic Knowledge Engineering & Interoperability in Materials Science in
Bundesanstalt für Materialforschung und -prüfung (BAM) | Berlin, Berlin | Germany | about 2 months ago, and roles to develop reusable semantic patterns Development, maintenance, and integration of ontologies and knowledge graphs using established upper ontologies (e.g., BFO, PMDco, EMMO) Analysis
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. Evaluate and perform preliminary analysis of the data using graphs, charts or tables to highlight the key points of the research results collected in accordance with the research protocols as stipulated
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Postdoctoral Position in Computational Humanities to Research the Macroevolution of European Literat
Max Planck Institute for Empirical Aesthetics (MPIEA) | Frankfurt am Main, Hessen | Germany | 3 months ago, representing these influences through dynamic networks and directed graphs, and creating effective visualizations of large-scale literary networks. Using these inferred connections and networks, we will tackle
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. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting
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Max Planck Institute for Empirical Aesthetics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 3 months ago
networks and directed graphs, and creating effective visualizations of large-scale literary networks. Using these inferred connections and networks, we will tackle big-picture questions about the evolution
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, articles, and publications. Prepares tables, graphs, and other visuals of research findings. Prepares Methods and Results sections of required research deliverables. Mentoring Assists, mentors, and/or
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theoretical advances into practical insight and tools that can support analysis, design and decision-making for AI-enabled space systems, thereby bridging the emerging scientific theory of deep learning with