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complex environments. The project will build on an interdisciplinary approach, combining concepts and methods from physics, chemistry, and mathematical modelling. The long-term goal is to derive design
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provide excellent teaching and research across the full breadth of the sciences, contributing to solutions for major societal challenges. Our eight institutes, ranging from mathematics, computer science
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high-frequency power conversion technologies through analytical modelling, multi-domain optimization, hardware development, and experimental validation. The research will explore the interaction between
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solution for the future of maritime decarbonisation. Your work tasks The research assistant will be involved in high-fidelity numerical modelling and a comprehensive analysis campaign of flexible power
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characterized to be far from thermal equilibrium, such that the governing physical principles have to be reconsidered. We combine modeling, high performance computing, and analytical theories tailored
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in development to ensure the materials are safe, affordable, and user-friendly. The project will also explore behavioural drivers, incentives, and innovative business models to stimulate adoption
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integrated early in development to ensure the materials are safe, affordable, and user-friendly. The project will also explore behavioural drivers, incentives, and innovative business models to stimulate
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degree in computer science, mathematics, statistics, physics or relevant fields. Strong background in machine learning, preferably experience in probabilistic modeling, Bayesian machine learning, or graph
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Position Description About the position We are looking for Quantitative Researchers to help us build models, strategies, and systems that price and trade financial instruments. You’ll work
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) we investigate the chemistry and transport of trace substances in the troposphere. To this end, field and simulation chamber experiments as well as model simulations are conducted. Your Job The current