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, and performing data analysis. Contributions to the development of novel experimental designs for dark matter axion searches are also possible. Our group provides hands-on access to state-of-the-art
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build on ongoing developments in graph-based analysis of point cloud data and explore structured approaches to bone-wise alignment and rigid transformation estimation. The project combines methodological
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or cultural economics. Some knowledge of demographic methods, longitudinal data analysis, or life-course analysis is an advantage. Experience working with large datasets and conducting empirical research
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, which is a poorly understood component of these systems. As oxygen depletion is spreading in coastal waters worldwide, the project will address knowledge gaps of both local and global significance. With
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quantitative analysis to strengthen data-driven approaches in pharmaceutical and chemical research. The project forms part of CPDSE’s broader effort to advance computational and data-scientific methodologies
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Structure Analysis, and interest in industrial applications and cooperation to join the Mads Clausen Institute (MCI) at the University of Southern Denmark (SDU) in Sønderborg, Denmark. The position is for
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familiar with quantitative statistical analysis and has at least a basic understanding of statistical analysis framework or software. If you do not have any experience with the above but are interested in
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analysis. Experience with programming tools like Python and energy system modelling tools like PYPSA is considered an advantage. The successful candidate should possess a curious and interdisciplinary
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comprehensive training in translational liver research, including data analysis, experimental design, and scientific dissemination. Qualifications We are looking for a highly motivated PhD candidate with a strong