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Field
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the development of scientific networks in an international environment of the Göttingen campus and beyond. GAUSS provides the organisational and regulatory umbrella for this programme. It was founded in 2005 by
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using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts generated in the scattering
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of molecular and biological matter using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts
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, Engineering and Management, Materials Technology, Materials Sciences, Nanosciences, Nanotechnology Description Description Join a multidisciplinary research environment at Forschungszentrum Jülich to develop
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to contribute to sustainable development. To this end, scholarships are granted for development-related PhD studies for individuals who plan to pursue a career in teaching and / or research at a higher education
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for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute to the studies of protein
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machine learning tools for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute
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well as historical approaches to the study of modern and contemporary globalisation processes and the comparison of world regions – offer the scientific basis of this PhD programme to develop an understanding
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on the evolution of gene regulatory networks and Wnt pathway functions in emerging model organisms (e. g. insects, annelids, snails, flatworms, cnidarians), utilizing ‘omics technologies and bioinformatics. Students
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complete an additional training programme to develop a broad understanding of Earth System Science. The additional curriculum comprises several partially elective elements: Courses offered by faculty members