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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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this fundamental challenge, the PhD candidate will be part of a wider team to establish methodological framework, combing utilisation of controlled tree growth test, thermodynamic modelling and advanced optical
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campuses and collaborating institutions (e.g. University of Manchester, UK and University of Marseille, France) Consistent evaluation of the bibliography in the areas relevant to the research Regular
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campuses and collaborating institutions (e.g. University of Manchester, UK and University of Marseille, France) Consistent evaluation of the bibliography in the areas relevant to the research Regular
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vehicles, data centers, etc.). These devices are mostly power electronic interfaced introducing new types of dynamic phenomena and the need for more detailed models, increasing complexity. In addition
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stresses. Based on the experimental data, a semi-empirical model to be developed to assess insulation degradation and identify failure signatures that can inform future predictive asset management strategies
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, the doctoral candidate will experience a 3-week placement at the University of Manchester (UK) in the lab of Clair Baldock for cryo-electron microscopy training and a 3-month placement at Mimetas (Leiden
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at the University of Manchester (# 6) and 30th November 2025 for all other projects. Applicants are advised to familiarise themselves thoroughly with the projects for which they apply and be ready to
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learning algorithm to develop an ability to choose what main data pattern/structure to preserve? This PhD project will approach this question by developing modelling strategies and pipelines to enable human
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network of collaborators at the University of Queensland, across Europe (e.g. Lancaster University, The University of Manchester, Wageningen University, University Giessen, Göttingen University, GFZ Potsdam