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for quality assurance in metal AM. By going beyond the state-of-the-art, we aim to optimize AM benefits, particularly for complex geometries. Insights gained will enhance the understanding of AM variability
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practices on various landscape aspects and conversely the conditions of the landscape for successful regenerative farming. Landscape aspects include soil health, natural elements, biodiversity and water
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mechanics at the atomic scale. In this project, the University of Groningen will develop an array of state-of-the-art machine learning potentials for multi-component alloy systems that are relevant
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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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strong translational and societal impact component. We are looking for enthusiastic and talented PhD candidates with Essential qualifications An excellent MSc degree in Biomedical Sciences, Molecular
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reticular framework materials, such as metal organic or covalent organic frameworks (MOFs and COFs). This could lead to responsive adsorption, transport and release triggered non-invasively by light. Another
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your time will be dedicated to this training component, which includes following courses/workshops as well as training on the job in assisting in the Bachelor’s and Master’s programmes of the department
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component-level specifications to system-level specifications. This PhD position will focus on the use of contracts for verification, i.e., aimed at guaranteeing system-level properties on the basis
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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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, reflecting your training needs and career objectives. About 20% of your time will be dedicated to this training component, which includes following courses/workshops as well as training on the job in assisting