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Field
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) with excellent grades in computer science, materials science, physics, or a related discipline Practical experience in data science, including the application of machine learning (ML) methods or large
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semantic querying and reasoning over materials-science/physics corpora Developing pipelines for semantic enrichment of unstructured data, including entity recognition, relation extraction, and automatic
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11.11.2024, Wissenschaftliches Personal In the project “BIG-ROHU” (BIG Data - Rotor Health and Usage Monitoring), a system is being developed which provides information on both the health and the
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and interdisciplinary projects integrated into large national and European research consortia such as the DAPHNE (DAta for PHoton and Neutron Experiments) NFDI consortium. The group offers well-equipped
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offered provide access to challenging and interdisciplinary projects integrated into large national and European research consortia such as the DAPHNE (DAta for PHoton and Neutron Experiments) NFDI
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scattering experiments at world leading large-scale X-ray and neutron facilities (e.g. PETRA III and EuXFEL in Hamburg, ESRF and ILL in Grenoble and others), analysis of the experimental data Presentation
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large-scale international facilities (such as synchrotron and neutron sources). Details of the research activities as well as publications and background information are available on the group website
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The positions offered provide access to challenging and interdisciplinary projects integrated into large national and European research consortia such as the DAPHNE (DAta for PHoton and Neutron Experiments) NFDI
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infectious diseases, antimicrobial resistance, medical decision making and population health metrics. Interest and experience in empirical applications of economic theory, the analysis of large health data
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, integrative biology approach that utilizes human pluripotent stem cell based model systems, high throughput functional genomic screening and big data based machine learning, bridging the scales from genetics