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Field
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Profile: Required qualifications and skills: University degree (M.Sc. or equivalent) in chemistry, materials science, geoscience, physics or related field Experience in laboratory work, e.g. synthesis and
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to the computational complexity of climate models, these will be replaced by physics-informed deep learning surrogates in the aforementioned model coupling. The project will initially focus on one main application
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and develops a wide range of topics related to chemical hydrogen storage along the entire process chain. We place a particular emphasis on LOHC technology, addressing issues across different scales. Our
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to probe metabolic states and function of control mechanisms. Analysis of strain performance and control mechanisms using computational tools (e.g., flux balance analysis, kinetic models, network component
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) and the German Academic Exchange Service (DAAD) since 2007. Under this CAS-DAAD joint programme up and coming young Chinese scientists from the University of Chinese Academy of Sciences (UCAS) and CAS
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of Chemistry, Physics and Materials Science and Engineering. All departments offer high quality study programs and the RTG will provide an excellent complement to other graduate training programs at Saarland
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career as a postdoc at our institute. Additionally, we offer female scientists the opportunity to participate in our TALENTA program: a comprehensive career and development program that includes
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practices in object orientation, component-based development, distributed computing, and business process management. It provides an integration of business and IT concerns. Course organisation The professors
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Degree Dr agr Course location Gießen In cooperation with University of Hohenheim Teaching language English Languages Courses are held in English. Programme duration 7 semesters Beginning Winter
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and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image