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systems and an affinity for developing mathematical optimisation models in the course of the research project “Innovative Solutions for High Voltage Underground Networks”. In particular, the successful
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project takes place in the field of closed-loop geothermal energy systems. It will explore the development of modelling tools for the real-time predictions of the temperature field around borehole heat
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Infrastructure? No Offer Description Join an international and multidisciplinary team to research on the deposition of high permittivity dielectrics on 2D materials. Apply Two-dimensional (2D) materials present
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optimisation problem. Such problems are very relevant for industry, e.g. for logistics, finance, biomedical research, … . However, finding a solution conventionally requires high-performance computer clusters
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synthetic fibers, yarns and fabrics) combined with high anisotropy and non-linearity. Furthermore, the dynamics of high-speed manufacturing processes need to be included in the modelling framework, ensuring
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fabrics) combined with high anisotropy and non-linearity. Furthermore, the dynamics of high-speed manufacturing processes need to be included in the modelling framework, ensuring its applicability to real
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research domains: 6G and Wireless Internet of Things communication Automotive CMOS and beyond CMOS 3D system integration Advanced nano-interconnects Advanced patterning and key process steps High-speed
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who would like to work on defining a methodology for assessing the perception of space in interior architecture through 3D digital tools. The goal of this PhD is to craft a methodology for digitally
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, to their organization and embedding, and to bio-physical cues such as forces. Computational models to predict experimental outcomes have the potential to speed up our knowledge and reduce the costs of development
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infrastructures; wireless and fixed networking; electromagnetics, RF & high-speed circuits and systems. The activities of SUMO Lab are embedded in this stimulating environment and include predictive analytics