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non-random, with specific motifs within the glycan chains defining binding sites for critical signalling and structural molecules. Unravelling the ways in which these motifs are encoded into GAGs by
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Student type: Domestic and international students Study stage type: Future study, Current study Study area: Engineering Need help understanding the process? Visit our scholarship guide Application How
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: Engineering Need help understanding the process? Visit our scholarship guide Application How to apply You must submit an application and include a personal statement addressing how the proposed research
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Directed Energy Deposition (DED) process for metallic components. The PhD candidate will focus on edge computing and the application of AI for data analysis and for identifying correlations with ground truth
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fields: Business Administration Computer Analytics / Artificial Intelligence Primary Education Early Childhood Education Requirements: PhD degree in the relevant field Fluency in English (teaching medium
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biological techniques to elucidate how specific metabolites modulate immune function and to develop synthetic small molecules that can mimic these processes. The candidate will be trained in a variety of
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process shortly. If a suitable candidate is found before the closing date, the vacancy will be closed, and further applications will no longer be possible. You will preferably start your employment as soon
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block within this process. You will be embedded both within an experimental and computational team, providing a unique atmosphere where there is expertise to develop the deep-learning models while having
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synthetic chemistry, proteomics, and biological techniques to elucidate how specific metabolites modulate immune function and to develop synthetic small molecules that can mimic these processes. The candidate
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alternative. This process operates under ambient conditions, utilises water as a hydrogen source, and is powered by renewable electricity. Recent advances in electrocatalyst design – enabled by operando