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Field
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provides a unique chance of being embedded in an interdisciplinary and enthusiastic research network and to gain insights into a diverse range of methodological approaches. This position is part of a cluster
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transformation leads, project managers, and site teams; document and data analysis; and, where possible, on-site observation of software use in active project settings. The qualitative case study work will be
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Danish health registry data, you will work with spatial data, such as disease maps and medical imaging. Such data are highly informative but also pose significant privacy risks. Your work will focus
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. Perform preliminary characterization using scanning electron microscopy, powder X-ray diffraction and elemental analysis. Diffraction data collection: Record precession-assisted 3D electron diffraction data
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We hereby invite applications for one or more PhD position focusing on the development and application of hyperspectral imaging technologies for bulk forensic evidence analysis. The project aims
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data sources (e.g., registry data, surveys, and organisations). Your competencies Digital methods such as machine learning based classification, computational text analysis, network analysis, web
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housing estates in Flanders and analyse co-creative and ‘futuring’ methods for co-design. Together with residents and other relevant stakeholders, and inspired by the analysis of destigmatising practices
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for the analysis and control of large classes of nonlinear and high-dimensional systems, such as air flow dynamics in complex greenhouse environments. In this PhD project, you will explore and conduct research
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genomics provide unprecedented opportunities to identify the cellular and molecular pathways through which genetic variation influences disease risk. This PhD project aims to uncover the cell-type-specific
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Systems - Jülich Systems Analysis (ICE-2) is the unbiased, scientific investigation of technologies, technology paths, value chains and market ramp-ups in future energy systems, considering material