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Field
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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, navigation, and visualization concepts for research data infrastructures based on the developed knowledge models Design and implementation of dissemination, training, and community activities to establish
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and technology to industry and society. Computer vision is one of the most dynamic areas of artificial intelligence, enabling machines to understand and interpret the visual world. At CVC, we combine
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running data analysis from plant breeding programs. Ensuring compliance with data security standards and compatibility with R-based and/or Python analysis tools and Shiny apps to maintain open-source and
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methods in brain imaging, including MRI/fMRI principles, neuroimaging study design, preprocessing and analysis pipelines, quality control, visualization of brain imaging data, and interpretation
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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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production and visual sensitivity, a web-based LCOE calculator, and a multi-criteria decision analysis (MCDA) methodology for comparing candidate demonstrator sites. The project directly supports Action 3 and
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-support products for management agencies and project collaborators. ● Translate research findings into accessible communication products, data visualizations, and scientific presentations for dissemination
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research projects. Prepares research data (e.g., coding and cleaning) for analysis. Analyzes research data, performs quantitative analysis, and summarizes findings. Writes and contributes to research papers
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that can inform and enable such concepts, for example in autonomous operations, scientific data analysis or intelligent payloads; benefit from, and contribute to, the technology and engineering expertise
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with research data collection, processing, analysis, and visualization SKILLS and ABILITIES Strong written and verbal communication skills Intermediate proficiency in Microsoft Office Suite High level of