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of Experimental Medicine uses systems biological approaches incorporating a large variety of molecular data sets to gain a deeper understanding of the role of the microbiome in host health and disease and how it
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translate data into robust, quantitative insight. The primary responsibility is to support and drive collaborative SyNergy projects; in addition, the role includes scientific contributions to a defined
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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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neuropsychological methods and large-scale cohort studies to advance mechanistic resilience research in the field of cancer survivorship. To strengthen the team in the Division of Cancer Survivorship & Psychological
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with a team of data scientists and economists on policy-related research projects that involve advanced data analysis and economic modeling. The position involves extensive work with large and
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medical datasets, particularly images and texts, as well as tabular and higher-dimensional data Testing, implementation, and benchmarking of new research methods Development of machine learning approaches
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Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). It is located at the University of Leipzig and the TUD Dresden University of Technology
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impact and cascading effects of hazards, precursors of crises and their aftermath, and to identify successful mitigation strategies. While global and regional data bases (pollen assemblages, land cover
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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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Artificial Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). It is located at the University of Leipzig and the TUD Dresden University