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Field
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impact of energy generation. This PhD project is part of the MSCA Doctoral Network AWETRAIN (Airborne Wind Energy TRAining for Industrialization Network). Its objective is to investigate the optimal
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the flexibility to change the transmit waveform and signal processing units on the fly. Personnel at SPARC have contributed to several seminal papers, book chapters, and books in the fields of waveform optimization
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machine‑learning or data‑analytics tools High‑level programming skills (Python, R, Julia) to build, test, and optimize models of geochemical systems Interest in large‑scale computational simulations (e.g
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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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layers. 1-Context Turbulent flows dictate the performance characteristics of numerous industrial equipment and environmental applications. One important consequence of turbulence is to increase the mixing
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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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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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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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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