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component of the project is to ensure that the results translate into impact by ensuring that they are implemented in the real-world in the Labmicta laboratory management systems. Your project will be
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regarding local decision-making processes, for instance the division of roles of actors, the available resources, the rules of the game and the dimension of discourses, combined with elements such as
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will work in a highly collaborative environment as part of a inter-national team of PhD, postdoctoral researchers, MSc, and professional staff. Our lab supports diversity, access, and inclusion in all
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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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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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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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of their salary during the first five years in the Netherlands. Do you want more information? For more information about this position, please contact Kirsty Holstead, Postdoctoral Researcher by email
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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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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