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transient electromagnetic (TEM) data. A key task will be to conduct numerical sensitivity analyses for potential acquisition protocols employing both FEM and TEM data, with an eye towards optimizing field
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. · Implement a Python-based workflows for automated execution of numerical simulations for parametric studies and design optimization. · Supervision of the development and manufacturing of physical
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Postdoctoral position in fabrication of hollow-core optical fibers for next-generation communication
postdoctoral researcher, will mainly carry out: optimization of both fiber preform preparation and fiber drawing processes so as to reliably fabricate HCFs with desired geometrical parameters for an extended
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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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. We leverage advanced technologies like semantic data processing, signal processing, and network resource management to enhance performance. To optimize and analyze complex 6G networks, we use AI/ML
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. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimizing PIC algorithms
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and the upgrading of traditional vaccines, breakthrough the key technical bottlenecks in basic research, process development and production of vaccines, continuously optimize the industrial structure