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Digitisation and advances in data science, including artificial intelligence (AI), which influence and change all areas of life, have a particular impact on life sciences and health-related sciences. For example
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of human-environment research. The general theme associates process mapping and modelling, creation of material balances (water, air, sediment, carbon, nitrogen and pollutants), the reconstruction of past
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Course location Hannover Description/content In 2003, the MHH founded Hannover Biomedical Research School (HBRS) as an “umbrella organisation” for existing and future structured postgraduate
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Neuroscience uses theoretical approaches from this broad range of disciplines to integrate experiment, data analysis and modelling in order to understand the brain. Furthermore, it makes a scientific language
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modelling. The PhD programme is thus an excellent starting platform for a successful career in a field related to global biogeochemical cycles and Earth System Science. To answer questions relating to global
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opportunities and diversity are important pillars of the Humboldt Foundation’s funding policies. If the career path has been impacted by personal limitations or structural issues, e.g. difficult research
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of research include instrumentation, observation, data analysis and theoretical modelling. Course organisation The PhD study programme is structured. Work on the thesis research project is complemented by a
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fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The PhD programme offers advanced studies in theoretical and
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microscopy. Root architectural phenotyping. Plant and root physiological measurements to determine the function of root phenotypes. Functional-structural plant modeling to determine the benefit of root
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analysed with bioinformatics tools providing the basis for systems-biological models for an understanding of interactive networks in multi-partner and multi-level consortia. Continuous exchange of knowledge