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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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for tens of kilometers length. In this project, you as a postdoctoral researcher will mainly carry out: optimization of both fiber preform preparation and fiber drawing processes so as to reliably fabricate
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immunohistochemistry. Flow cytometry and cell sorting. High-throughput screening approaches. Development or optimization of molecular methods. Postdoctoral scholarships may be established for foreign researchers who
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learning can improve software architecture recovery, how to optimize machine learning models at compile and runtime, and autonomous agents for software development. Part of the research is conducted through
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research questions. This postdoctoral scholarship offers the opportunity to be a part of this AI revolution by developing novel neural network architectures specifically optimized for plant genomic data. Our
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in electric vehicle applications. Scientifically, the following parts will be included in the research: a) Fabrication and optimization of large-scale hBN films of high quality with high in-plane
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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 above, the
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. The work is performed in connection to two ongoing research projects “Probabilistic multiscale modelling of the macroscopic crack growth behavior in heterogeneous materials” and “Optimized Digitalization