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for the new green steels compositions, including impurities and tramp elements. These models should enable density-functional-theory (DFT) accurate large scale atomistic simulations of defects including
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of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant for the new green steels compositions, including impurities and tramp elements. These models should enable
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systems. These contracts have two desired features: they should i) be capable of expressing rich specifications; and ii) come equipped with a theory of compositional analysis that allows for translating
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equipped with a theory of compositional analysis that allows for translating component-level specifications to system-level specifications. This PhD position will focus on the use of contracts
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capable of expressing rich specifications; and ii) come equipped with a theory of compositional analysis that allows for translating component-level specifications to system-level specifications. This PhD
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RE-Fibre is a Doctoral Network funded by Marie Sklodowska-Curie Actions (MSCA-DN) that aims to revolutionize Bio-fibre composite landscape by designing high-performance, fully renewable, and
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optimizing surgical set composition, cleaning, and transport logistics. A comparative study will assess the sustainability of sterilization using blue wrap versus aluminium containers. Pilots will optimize
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-fibre composite landscape by designing high-performance, fully renewable, and recyclable wood and plant fibre materials. RE-Fibre will train 11 Doctoral Candidates (DCs) with an entrepreneurial and
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-DN) that aims to revolutionize Bio-fibre composite landscape by designing high-performance, fully renewable, and recyclable wood and plant fibre materials. RE-Fibre will train 11 Doctoral Candidates