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optimize catalysts for the production of sustainable aviation fuels from bio-based feedstocks. The use of bio-based feedstocks results in new challenges and the optimal catalysts as well as the relevant
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the problem is explicitly considered. In particular, it will investigate how to tightly integrate state-of-the-art sampling-based methods with state-of-the-art methods from numerical optimal control in a
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stochastic control, numerical simulation, and machine learning with ecological and economic models, the project offers a unique vantage point on biodiversity as a financial asset. The postdoctoral researcher
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position in active flow control for wingsail performance and operation. The goal is to develop innovative flow control techniques to optimize aerodynamic performance and reduce vibrations in unsteady
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description and working tasks Linear algebra expressions are evaluated in an efficient and robust way by mapping them to a carefully chosen sequence of calls to optimized functions as offered by libraries
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
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, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high
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to tax. The PI covers running costs for the project. Project description What if we could decode the hidden language within plant genomes that controls their resilience to climate change, their growth