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by a senior researcher to carry out the research and development of high-temperature ceramics and composites using advanced processes including but not limited to chemical vapor deposition/infiltration
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on “Statistical models for high-dimensional and functional data ”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources
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of the English upland landscape through a partnership with multiple stakeholders, united by mutual interest in the landscape’s future. Cumbria, a county in the North-West of England, is home to some of the UK’s
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that can be validated with experiments and bottom-up models at multiple scales in order to predict the macroscopic response. Hence, this research will investigate the degradation of metallic materials under
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skilled human operators must acquire and integrate information from multiple distributed sources (e.g., physical and informational environments) to coordinate cognitively (e.g., decision-making) and
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the human gut microbiome are poorly characterized at their molecular level, despite their important roles to keep a healthy state. The presence of pathogenic species or imbalances in the composition
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lies in both its composition and its working methodology. On the first point, the committee is made up exclusively of AMU academics who are experts in issues relating to decision-making processes in
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be delocalised, hence describable with standard DFT exchange and correlation, or localised and subject to strong correlations. This aspect and the local structural and compositional environment
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units are united by an overriding concern for the organization of the human within its multiple environments: work, technology, nature, economy, civil association, the state, the law, and corporation
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. The molecular and cellular consequences of these mutations are hardly known so far. Therefore, understanding the cell type-specific composition and function of these complexes in the development of the brain as