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methods such as S-TEM, TGA/DSC. • Familiarity with process simulation software, mass-balance calculations, kinetic modeling, statistical analysis, or data-driven process optimization. • Demonstrated record
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• Interdisciplinary applications ranging from biomechanics and geophysics to fluid and polymer models Further information can be found here: https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis
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Postdoctoral fellow within Microglia–Neural Circuit Interactions in Memory and Disease (PA2026/2262)
immunohistochemistry and morphological analysis of microglia and neurons Apply for postdoc fellowship with help from the lab whenever possible. Requirements Essential requirements PhD in neuroscience Hands-on experience
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Health or other related disciplines with at least 2 years of post-bachelor’s work experience. Previous work experience in big data analysis, managing large databases of research projects relating to family
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of Computer Science at Aarhus University has a strong research and education profile that spans theoretical and practical computer science. The Data-Intensive Systems group studies management and analysis of complex
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data-taking and analysis in search for dark matter and other new physics signals. The XLZD experiment is the next-generation detector, and the Oxford group is working on the fieldcage design. The
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tools (FDTD). - Fabrication of components in a cleanroom. - Implementation of the photonic experimental setup, as well as experimental measurements and data analysis. The position is based at the C2N
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, research internships, fellowships, awards, and involvement in research projects, Copy of PhD diploma, Scientific reference letter written by an experienced researcher. Please include information about
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analysis of the project's qualitative and quantitative data. The role will involve contribution to the development of mixed-methods analytical strategies, syntesize findings based on data collected in
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interviews, and the collection and analysis of primary and secondary empirical data from local communities in which public participation approaches have been conducted or are considered. Your work will build