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Field
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will consider techniques like flow matching, and use ideas from optimal transport and neural (stochastic) differential equations, invariant Kalman filtering and geometric numerical integration
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are of paramount importance in a variety fields such as energy, analytical chemistry, catalysis,.. Several approaches for covalently bonding organic moieties to surfaces exist, often relying on local generation
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Description Do you want to develop sustainable energy storage solutions for the future? Do you want to use your curiosity, technical knowledge, and enthusiasm to contribute to the UN sustainability goals and
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cookie and refresh page to watch video, or click here to open video) About the position The international shipping industry is striving to decarbonize and save energy. One of the most promising
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Challenge: Extreme water events threaten people and infrastructure Change: Understand impact dynamics with experiments and numerical simulations Impact: Optimize the design of resilient
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to increase resource use efficiency. However, managing and optimizing these new cultivation systems requires crop models that can predict plant growth, crop yield and resource use under highly dynamic
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optimized physical and mechanical properties, in particular for energy-related (e.g., solar cell), aerospace and nuclear applications, where materials are exposed to ion irradiation. Although the effects
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retrieve shapes, overlay errors, and other geometrical parameters of the target using methods ranging from local and global optimizers to priors and neural networks developed by partners in the project. Job
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and prior knowledge of the sample geometry. You investigate and optimize the trade-off between accuracy and imaging speed. For real-time application, the speed and accuracy of the algorithms will be
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28th September 2026 Languages English English English The Department of Electric Energy has a vacancy for a PhD Candidate in High-Frequency Wide-Bandgap Power Conversion Technologies Apply