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into the effects of friction dampers of different designs, and to develop approaches for effective damping of resonance vibrations across a wide range of possible vibration modes in bladed disks. The PhD studies
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developed in order to improve the chemical characterization of these ice-active compounds. The optimized analysis techniques will then be applied to a selection of atmospheric aerosol, cloud and precipitation
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machine learning for safe and optimal control of cyber-physical systems. The projects are expected to be funded by the VILLUM INVESTIGATOR project S4OS (“Scalable analysis and synthesis of safe, secure and
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on conventional computing platforms such as GPUs, CPUs and TPUs. As language models become essential tools in society, there is a critical need to optimize their inference for edge and embedded systems
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resource-constrained environments, and it is important to investigate whether features derived from different network layers can be effectively combined. Machine Learning Model Development & Optimization
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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may refer to the following: www.uni.lu/snt-en/research-groups/sigcom/ We are looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you
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the department form a diverse group with different nationalities, backgrounds, and fields. If you work as a doctoral student with us you will receive the benefits of support in career development, networking
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to capture vPvM chemicals in water. Optimize effect-directed analysis and implement suitable in vitro assays Investigate operational waterworks and if possible test pilot-scale systems such as advanced
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to energy grid, etc.) that would be suitable for the implementation of standardised renovation solutions from different perspectives (suppliers, clients, housing associations, etc.). Additionally, a