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Field
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simulations and multiscale spatial-omics data. • Integrate uncertainty quantification into scientific machine learning workflows and optimize the design of computational (ABM) and wet-lab experiments
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the Research Group “ Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting September 1, 2025. The position is assigned to the research project "Randomization of Surrogates
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and cutting-edge research. Job Description We are seeking a postdoctoral researcher specializing in digital twins to develop innovative solutions for monitoring, analyzing, and optimizing urban systems
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applications as Research Assistant Position (f/m/d) (Ref. 25/10) in the Research Group “Numerical Mathematics and Scientific Computing“ (Head: Prof. Dr. V. John) starting September 1, 2025. The position is
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tasks that best suit your strengths. This could involve the design, optimization, and fabrication of advanced devices using numerical methods like FDTD; taking charge of spectroscopic experiments
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multiplex and multilayer networks alongside with the observed links in order to predict or reconstruct the missing links. The first step is to explore different optimization methods using low rank tensor
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inflow reconstruction techniques for lidar-assisted control and load assessment/validation. Contribute to the development and modelling of wind turbine control methods with the aim to optimize wind turbine
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Job Description Do you want to contribute to a new research field where oxide/metal hybrid devices are geometrically optimized to yield extraordinary performance, including the highest
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, including finite-element simulation and topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks
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is the study of complex systems, by means of the analysis of real-world data, their modelling through mathematics and numerical simulations, and their control and optimization. The different poles