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manufacturing through FDM, SLA, SLS printing technologies Expected outcomes The PhD project will generate novel numerical algorithms and design strategies, opening a new research avenue in computational
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algorithm that allows accurate simulation of fluid transport processes in porous media coupled with chemical reactions (e.g. dissolution and precipitation). The algorithm will be validated firstly against
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energy resources. The expected outcomes include technical advancement of distributed algorithms for managing energy resources at customer premises. The benefits include more resilient, secure, private, and
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-driven transformations, interactions with protozoan hosts (including amplification of pathogens such as Legionella), and the exchange of regulatory and genetic material via extracellular vesicles. Despite