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conduct their research in the Physics of Living Matter Group, with exciting collaborative opportunities globally, as well as within Luxembourg. The doctoral candidate will perform wet lab experiments as
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, strategies and mechanisms for keeping the system operational in the most extreme situations, while meeting the workload's performance goals, and solutions for coping with the fact that criticalities
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structures, designing appropriate benchmarks for the target domain, and determining which fusion architectures best balance performance, interpretability, and computational efficiency. The student will
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intuitive links between search parameters and the resulting geometry or performance outcomes. The result will be an LLM-driven framework giving designers clearer cause-effect control over generative shape
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underrepresented in a particular area, we place particular emphasis on counteracting this imbalance. If they have the same aptitude, qualifications and professional performance, we give priority to people with
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cyclone-induced winds from synoptic wind conditions. Additionally, extreme value statistical methods will be applied to establish predictive risk models for tower performance under rare wind events, leading
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and establish tighter, more intuitive links between search parameters and the resulting geometry or performance outcomes. The result will be an LLM-driven framework giving designers clearer cause-effect
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visual and auditory cortices using techniques such as cross-modal decoding, unit reliability analysis, and shared variance component analysis (SVCA) Create comprehensive data visualisations and perform
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memristive devices, in collaboration with PGI-14. The goal is to train a system that leverages the intrinsic non-linear dynamics of these devices to perform complex learning tasks with extreme energy
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. Objectives: This PhD project aims to prepare and characterized nanostructured biofilm-repellent surfaces on titanium dental implants to evaluate the clinical performance of biomimetic and personalized