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Perform high throughput metabolomics profiling using a unique framework developed in the lab. Analyze and interpret metabolomics data to derive experimentally testable hypotheses Support and preparation
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modelling, the project will explore innovative structural solutions to enhance performance and ruggedness for grid-scale and high-power applications. The student will be supervised by Professor Marina
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The research in this doctoral opportunity will investigate the relationship between material elastic and thermal properties by using high resolution digital imaging under dynamic loads. Digital
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these pNTA results. The person will be employed at the Department of Computer Science and have access to high-performance computing resources suitable for large-scale machine-learning and foundation-model
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multimodal signals to improve the performance of multilingual models for low-resource languages, such as Luxembourgish. Particular emphasis will be placed on language-agnostic modalities, including images and
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://www.nature.com/articles/s41467-024-50598-1 ), (https://www.sciencedirect.com/science/article/pii/S0736584516300801 ). This research is driven by the need to perform repair tasks without disassembling industrial
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is essential. Perform in vivo mouse studies using CRISPR-engineered cancer cell lines Design, perform, and analyse in vivo CRISPR pooled screens Perform high throughput metabolomics profiling using a
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improvements in performance for next-generation electronic and power systems. Aim You will have the opportunity to design, fabricate and study novel multilayer composite dielectric materials with ultra-high
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on different research areas: History, Cultural Encounters, Communicative Construction of Knowledge, Culture and Society, Media Culture and Media Economy, Music and Performance, and Research on Religions
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improve the corrosion performance of wrought high strength aluminium alloys in response to this demand and to formulate these alloys from end-of-life recycled aluminium to reduce embedded carbon level to