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on the generation and transmission of sound, acoustic signal processing, advanced measurement techniques, transducers, room acoustics, vibration, and numerical methods. Responsibilities and qualifications The primary
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” funded by the VILLUM FONDEN. The overall aim of the project is to introduce microstructural engineering to the field of additive manufacturing (AM) of metals. This is to set the stage for optimizing metals
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to optimization problems with possible topics covering: Variational quantum algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical
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with Prof. Qi (now at Georgia Institute of Technology), this field has received significant advancements, with numerous proofs-of-concept showcasing diverse behaviors and materials for potential future
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of the institute includes numerical simulation of wave propagation processes, modeling of porous media (e.g. concrete), optimization of sustainable buildings and analysis-suitable CAD models. About us Graz
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the initial phase, you will develop and optimize physical and numerical models describing the electron optics of the complete probe-forming column, including the multi-beam generation unit, imaging lenses
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three main phases. In the initial phase, you will develop and optimize physical and numerical models describing the electron optics of the complete probe-forming column, including the multi-beam
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windows as well as to optimize the tooling geometry. These process simulations require efficient numerical algorithms to be practical and to enable robust optimization. Therefore, in this project you will
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controlled power electronics to optimize the overall efficiency of electromechanical conversion. Ultimately, the system will be integrated into two thermal energy conversion cycles: a thermochemical cycle and
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) Develop, optimize, and experimentally validate MC-based reliability solutions for multi-orbit systems compared to single-connectivity baselines Carry out research in other related areas Disseminate findings