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Field
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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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analyzing the impacts of global change on freshwater ecosystem functioning, community composition, food-web structure and biodiversity. Experiments investigating how benthic or planktonic primary producers
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their research goals and curricular content, ensuring optimal subject and interdisciplinary qualifications tailored to specific needs. Additional support is offered by the GraduateCenter. Course organisation Scope
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to investigate all aspects of biogenic dyes, from the identification of dye-producing bacteria and the characterization of their pigments, through the optimization of their production and application
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include: Performing numerical simulations of magnetic systems to generate magnetometry data for the ML training process, Implementing and testing various neural network architectures to optimally analyze
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processes based on CO2 and other carbon-rich waste streams enable net-zero CO2-conversions into valuable chemicals. This project aims to design, integrate and optimize metabolic pathways in an engineered C
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on model surfaces In situ and operando (surface) X-ray scattering studies of catalyst/polymer interfaces Design, optimization, and testing/benchmarking of reactors for in situ and operando studies
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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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-following inverters. Implementing and optimizing scalable algorithms for transient and stability analyses on HPC architectures (CPU, GPU, hybrid). Enhancing the numerical robustness and efficiency of existing
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to efficiently create new, sustainable and recycling-adapted structural metals. Alloys with a reduced number of elements, so-called lean alloys, and material systems with a high tolerance to impurities from