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include: Researching, in particular, publicly available data on current and future materials for energy technologies Implementing the materials in our technology database and in our energy system model
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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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substitution options within the energy system Implementing the phased-out material flows and their substitution options in our technology database and in our energy system model ETHOS.FINE Deriving demand
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17.06.2024, Wissenschaftliches Personal The Chair of Algorithms and Complexity, Department of Computer Science, School of Computation, Information and Technology, has an opening for a PhD student
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, autonomous vehicles and mobility infrastructure requires a rethink in system and software engineering to keep pace with growing complexity and leverage the latest technologies like artificial intelligence. It
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candidate, you hold an excellent or very good Master’s degree (or equivalent) in mathematics, engineering, statistics,physics or a related area, have strong interest and background in mathematical statistics
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drugs in the future. During your fully funded PhD project (3 years, 65 %), you will use state-of-the-art molecular and cellular biology, genetic engineering and imaging technologies to investigate